Famous Investors: Lessons From 100 Investing Masters

Buffett buys whole businesses and stakes in listed companies through Berkshire Hathaway. He looks for businesses he understands, with a durable competitive advantage (a "moat" that keeps rivals out), honest and able management, and a sensible price. He then holds for many years and lets profits compound. Berkshire's insurance float, money held to pay future claims, gives him a large, steady pool of capital to invest. He often keeps a large cash reserve and has acted boldly when markets panicked.

• A share is a part-ownership of a real business, so the business matters more than the share price.
• A durable competitive advantage lets a company earn high returns on its capital for many years.
• Buying a wonderful company at a fair price can work better over time than buying a mediocre company cheaply.
• Staying inside your circle of competence, the businesses you truly understand, reduces costly mistakes.
• Market panics are when patient buyers with cash find the best prices.

Best known for: Turning Berkshire Hathaway from a struggling textile company into a large conglomerate through decades of long-term investing and business acquisitions.

Munger ran his own investment partnership, Wheeler, Munger & Co., from 1962 to 1975, then served as vice chairman of Berkshire Hathaway until his death in 2023. He pushed Buffett away from buying cheap, mediocre companies and toward paying fair prices for excellent ones, with See's Candies the classic example. He made few, large, long-held bets. To judge businesses and avoid foolish errors, he drew on a "latticework of mental models" from psychology, economics, math and other fields.

• Quality businesses held for a long time can compound far more than cheap but poor businesses.
• A few well-understood, concentrated bets can be enough over a lifetime.
• Thinking backward (inversion) about what would cause failure helps avoid it.
• Knowing common psychological biases, such as envy, overconfidence and following the crowd, helps protect against them.
• Waiting patiently for rare, clear opportunities is a large part of the work.

Best known for: Shaping Berkshire Hathaway's shift toward buying high-quality businesses at fair prices, and his talks on mental models and human misjudgment.

Graham ran Graham-Newman Corporation with Jerome Newman until 1956 and taught security analysis at Columbia Business School. He bought stocks and bonds trading well below a careful estimate of their worth. These were often companies priced under their net current assets (cash, receivables and inventory minus all liabilities). He spread money across many such holdings and demanded a "margin of safety," a gap between price and value large enough to absorb errors and bad luck. His Mr. Market parable treated price swings as chances to buy or sell.

• Investing means careful analysis that promises safety of principal and an adequate return, and anything else is speculation.
• A margin of safety between price and estimated value protects against mistakes and bad luck.
• The market ("Mr. Market") offers prices every day, and the investor can accept them or ignore them.
• Spreading money over many cheap holdings reduces the damage from any single error.
• The investor's own emotions are often a bigger danger than the market.

Best known for: Writing Security Analysis and The Intelligent Investor, which laid the foundations of value investing and shaped Warren Buffett.

Fisher founded Fisher & Company in San Francisco in 1931 and ran it for decades. He looked for growth companies with strong research, sales organizations, profit margins and management. He built his view through "scuttlebutt": talking with customers, suppliers, competitors and former employees. He owned relatively few stocks and held winners for decades. Motorola, bought in the 1950s, is his best-known long holding. He sold when the original reasons for owning a company no longer held, not because the price looked high.

• Outstanding growth companies can be worth holding for decades.
• Talking to people around a company (scuttlebutt) reveals more than financial reports alone.
• The quality and integrity of management are central to long-term results.
• A focused portfolio of well-understood companies can be better than a long list of half-known ones.
• A good reason to sell is a broken thesis, not a rising price.

Best known for: His 1958 book Common Stocks and Uncommon Profits and its 15-point checklist for finding outstanding growth companies.

Templeton launched the Templeton Growth Fund in 1954 and was among the first US investors to search the whole world for bargains. He bought in Japan in the 1960s, when few foreigners did. He bought where pessimism was deepest and prices were lowest relative to a company's long-term earning power, comparing value across countries and industries. In 1939, as war spread in Europe, he borrowed money to buy about 100 shares of each US-listed company trading below $1, and most of those holdings later paid off.

• The best bargains often appear at the point of maximum pessimism.
• Searching globally widens the pool of cheap companies.
• Comparing prices across countries and industries reveals where value is greatest.
• Being humble and spreading holdings protects against the errors every investor makes.
• Crowds tend to be most optimistic when prices are highest.

Best known for: His 1939 purchase of about 100 shares in each US-listed stock trading under $1, and pioneering global investing through the Templeton Growth Fund.

Lynch ran Fidelity's Magellan Fund from 1977 to 1990 and grew it from a small fund into one of the largest in the US. He was a hands-on, bottom-up stock picker: he visited companies, talked to managers and owned hundreds of stocks at a time. He sorted companies into types, such as slow growers, stalwarts, fast growers, cyclicals, turnarounds and asset plays, and judged each on earnings growth relative to price. He argued that ordinary people often notice good businesses in daily life before professionals do.

• Knowing what you own and why you own it matters more than predicting the market.
• Everyday experience as a shopper or employee can point to promising companies.
• Different kinds of companies (fast growers, cyclicals, turnarounds) behave differently and need different expectations.
• Earnings growth relative to the share price is a useful gauge of value.
• Trying to time market corrections has often cost investors more than the corrections themselves.

Best known for: Running the Magellan Fund to one of the strongest reported results of its era and explaining his methods in One Up On Wall Street.

Klarman has led the Baupost Group, a Boston investment partnership, since its founding in 1982. He buys assets selling well below their value wherever they appear: unloved stocks, distressed debt (bonds and loans of troubled companies), bankruptcies, real estate and complex situations where others are forced to sell. He focuses first on what can go wrong. When bargains are scarce, he holds large amounts of cash, sometimes for years. Baupost has at times returned capital to clients when it saw too few opportunities.

• Avoiding permanent loss of capital comes before seeking high returns.
• A margin of safety is needed because value estimates are uncertain.
• Forced sellers, such as index changes, bankruptcies and spinoffs, create bargains that have little to do with value.
• Holding cash when nothing is cheap keeps capital ready for better opportunities.
• Being willing to look different from the crowd is part of value investing.

Best known for: His 1991 book Margin of Safety, a rare and highly sought-after guide to risk-averse value investing.

Greenblatt founded Gotham Capital in 1985 with Robert Goldstein and focused on special situations: spinoffs, restructurings, mergers and bankruptcies where forced selling or neglect left stocks mispriced. Later he turned his thinking into a ranking method, the "magic formula." It buys companies with high returns on capital (profits relative to the money tied up in the business) at high earnings yields (cheap relative to profits) and rebalances regularly. This rules-based side, run through Gotham Asset Management, makes his style hybrid.

• Good businesses bought at cheap prices tend to do well over long periods.
• A ranking rule can keep emotions out of buying and selling.
• Special situations such as spinoffs often get mispriced because many holders sell without looking at value.
• A sound strategy can trail the market for years, and that is part of why it keeps working.
• Teaching value ideas in plain terms helps investors stick with them.

Best known for: The "magic formula," a ranking of companies by return on capital and earnings yield, explained in The Little Book That Beats the Market.

Smith founded Fundsmith in 2010 after working as a bank analyst and leading the broker Collins Stewart. His approach has three steps: buy good companies, don't overpay, do nothing. He owns a concentrated set of mostly consumer, healthcare and technology companies. They have high returns on capital, strong cash generation and little need for debt. He avoids sectors such as banks and heavy industry. Low turnover, meaning little buying and selling, keeps trading costs down. He reports turnover and costs openly to investors.

• High and steady returns on capital are the clearest sign of a good business.
• Paying too much can spoil a good company as an investment.
• Doing little and holding for the long term reduces costs and mistakes.
• Reported earnings can hide weak cash flow, so cash generation matters.
• Being open about costs and turnover helps investors judge what they pay.

Best known for: His three-step investment philosophy, "Buy good companies. Don't overpay. Do nothing," and his 1992 book Accounting for Growth.

Jeremy Grantham co-founded GMO, a Boston investment firm, and for decades shaped its long-term view on stocks, bonds and other asset classes. His core belief is mean reversion: valuations and profit margins tend to drift back toward their historical averages over time. GMO publishes seven-year return forecasts for asset classes and leans away from those that look expensive. Grantham is best known for warning about speculative bubbles, which he identifies statistically, and for accepting years of looking wrong while a bubble kept inflating.

• Prices and profit margins that sit far above their long-run averages tend to drift back toward them over time.
• Starting valuation is a major driver of the returns an asset class delivers over the following years.
• Bubbles can be identified by how far prices stray from their historical trend, even if their timing cannot.
• Acting on valuation often means looking wrong for years before being proven right, which is a business risk for any investment firm.
• Patience and a long horizon are needed to turn valuation signals into results.

Best known for: Warning publicly about major bubbles, including Japan in the late 1980s, US technology stocks around 2000 and the housing and credit boom before 2008.

Li Lu founded Himalaya Capital in 1997 and runs it as a concentrated, long-term investment partnership. He studies a small number of companies in great depth, mostly in Asia and especially China, and buys when the share price sits well below his estimate of what the business is worth. He treats shares as part ownership of a real business rather than as tickers to trade, and he holds for many years. Charlie Munger entrusted part of his family's money to Himalaya and publicly backed Li Lu's work.

• A share is part ownership of a business, so the business matters more than the share price chart.
• Investing only within a circle of competence, the businesses one truly understands, reduces the chance of large mistakes.
• A few deeply researched holdings can matter more than many lightly researched ones.
• Buying with a margin of safety, a price well below estimated value, leaves room for error.
• Value investing principles can be applied in fast-growing emerging markets, not only in the US.

Best known for: Bringing Chinese carmaker and battery maker BYD to Charlie Munger's attention, which led to Berkshire Hathaway's investment in BYD in 2008.

Mobius led a team that picked individual shares in developing countries, starting from company research rather than economic forecasts. He was known for traveling constantly to visit companies and countries in person, which earned him the nickname "Indiana Jones of emerging markets". In the Templeton tradition, the team looked for shares priced low relative to their long-term earning power, held them for years and spread money across many countries and companies. Later, at Mobius Capital Partners, he paid close attention to corporate governance.

• Firsthand visits to companies and countries reveal what reports and data can miss.
• Emerging markets swing sharply, so deep falls are part of holding them over long periods.
• Spreading money across many countries limits the damage from trouble in any single one.
• Corporate governance, meaning how a company treats outside shareholders, is a central risk in developing markets.

Best known for: Leading Templeton's emerging markets team from 1987, helping turn developing-country stocks into a mainstream part of global portfolios.

Miller ran concentrated stock portfolios at Legg Mason and later at Miller Value Partners. He saw a company's value as what its future cash flows are worth today, not as a low price-to-earnings ratio (share price divided by profit per share). That let him own technology companies such as AOL, Dell and Amazon next to classic cheap stocks. He held positions for years, would buy more when prices fell, and drew on ideas from other fields, including the Santa Fe Institute's research on complex systems.

• A company's value depends on its future cash flows, not on its past accounting figures.
• Technology and internet companies can be value investments when their price sits well below a careful estimate of future cash flows.
• Holding positions for years and trading rarely gives a business time to grow into its value.
• Long winning streaks mix skill and luck, and Miller himself said his streak involved a lot of luck.
• A margin of safety (a gap between price and estimated value) stays central even when growth companies are owned.

Best known for: Running Legg Mason Value Trust, which outperformed the S&P 500 in each calendar year from 1991 through 2005.

Pabrai runs concentrated stock portfolios through Pabrai Investment Funds. He set them up in 1999 as a close copy of Warren Buffett's 1950s partnership rules. He looks for businesses priced well below what they are worth, where a permanent loss looks unlikely and the possible gain is large. He makes few, large and infrequent bets anywhere in the world. He also openly 'clones' ideas from investors he admires, checking each one himself before buying. Since 2023 he has also run the Pabrai Wagons fund, listed on a stock exchange since 2026.

• The best bets offer a large possible gain with only a small possible loss.
• Few bets, big bets and infrequent bets can do more than a long list of small positions.
• High uncertainty is not the same as high risk: an uncertain situation can be priced cheaply while the real risk of loss stays small.
• Copying (cloning) well-researched holdings of skilled investors is a legitimate starting point for research.
• He discussed the Kelly formula, a rule linking bet size to the odds of winning, as a guide to sizing positions.

Best known for: Writing The Dhandho Investor (2007) and running Pabrai Investment Funds on rules modeled on the early Buffett partnerships.

Sleep and his partner Qais Zakaria ran Nomad as a concentrated, long-term stock portfolio, first under Marathon Asset Management and from 2006 at their own firm. Early on they bought companies worldwide at around half their estimated value. Over time they focused on firms that pass the savings from growing size back to customers through lower prices, which they called scale economies shared, such as Costco and Amazon. They traded rarely and judged each business by where it could be in many years.

• Scale economies shared: a company that passes the savings from its growing size to customers can build an advantage that feeds on itself.
• Doing little can add value: rare trading kept costs down and let the businesses compound.
• A business is best judged by its likely long-term destination, not by the bumps along the way.
• A few high-conviction holdings mean more ups and downs than peers, which suits only partners with long time frames.
• Fees can reward patience: Nomad paid a management fee meant to cover costs and a performance fee only above a 6% hurdle, with clawback.

Best known for: Nomad's long-term, concentrated holdings in Amazon, Costco and Berkshire Hathaway, explained in detailed partner letters.

George Soros founded Soros Fund Management and ran the Quantum Fund, a global macro fund: it bets on large economic and policy shifts through currencies, bonds, stock indexes and commodities. His framework, reflexivity, holds that investors' beliefs can change the very fundamentals they are judging, so booms and busts can feed on themselves. He looked for situations where a widely held view was flawed, tested the idea with an initial position, and added heavily when the market confirmed it. He cut positions quickly when it did not.

• Reflexivity: market prices and beliefs can influence the economic fundamentals they are supposed to reflect.
• Booms and busts often follow a self-reinforcing path before reversing sharply.
• Being willing to admit mistakes quickly is a strength, not a weakness.
• Position size should grow when the market confirms an idea and shrink when it does not.
• Large opportunities often appear when a policy or exchange rate becomes impossible to defend.

Best known for: The 1992 bet against the British pound, when the UK left the European Exchange Rate Mechanism on what became known as Black Wednesday.

Stanley Druckenmiller founded Duquesne Capital in 1981 and, from 1988 to 2000, also ran the Quantum Fund for George Soros. He trades macro themes across currencies, bonds and stocks, paying close attention to central bank policy and liquidity, meaning how much money is flowing through the financial system. He holds few positions and sizes them aggressively when his conviction and the market's behavior line up, then cuts quickly when the story changes. He closed Duquesne to outside investors in 2010 and now invests through a family office.

• Preserving capital comes first; large gains come from a few big, well-timed bets.
• Central bank policy and liquidity often drive overall markets more than company earnings.
• When conviction is high and the market agrees, a large position can be justified.
• Changing one's mind quickly when the facts change avoids small losses becoming big ones.
• Being right matters less than how much is made when right and how little is lost when wrong.

Best known for: Developing and pushing the 1992 trade against the British pound while running the Quantum Fund for George Soros.

Paul Tudor Jones founded Tudor Investment Corporation in 1980 after learning to trade cotton futures. He trades futures, currencies, bonds and stock indexes on macro views, combined with close attention to price action and market history. Defense comes first: he limits the loss on each trade, cuts his size when trading badly, and avoids adding to losing positions. He is known for studying past market episodes for patterns that might repeat, a habit shown in the 1987 documentary Trader, which compared that year's market with 1929.

• Protecting capital matters more than chasing gains.
• Adding to a losing position tends to turn small mistakes into large ones.
• When trading goes badly, reducing position size helps regain control.
• Studying past market episodes can help recognize conditions that have preceded big moves.
• Price behavior is a check on any fundamental view: if the market disagrees, the view may be wrong.

Best known for: Anticipating and profiting from the October 1987 stock market crash.

Julian Robertson founded Tiger Management in 1980 and ran it as a long/short fund: buying shares of companies he judged strong and undervalued while short selling, that is betting against, shares of weak or overpriced ones. His team did intensive fundamental research on businesses worldwide, and Tiger also took large macro positions in currencies and bonds. He hired and trained many analysts who later started their own funds, often called the Tiger Cubs. He returned outside capital in 2000 after struggling through the late-1990s technology bubble.

• Pairing long positions in the best businesses with short positions in the worst can profit from research in both directions.
• Deep, fundamental research on individual companies is the base of stock selection.
• Talented, competitive people and their judgment are a firm's main asset.
• Refusing to buy what looks overvalued can cost heavily while a bubble lasts.
• Large size can make a strategy harder to run, especially in big macro bets.

Best known for: Building Tiger Management into one of the largest hedge funds of the 1990s and training the generation of investors known as the Tiger Cubs.

Ray Dalio founded Bridgewater Associates in 1975, and it grew into one of the largest hedge fund firms, serving mainly pension funds, endowments and governments. Bridgewater writes down how economies and markets work as explicit decision rules and tests them against long stretches of history, which makes its approach a hybrid of human judgment and systems. Its Pure Alpha strategy makes macro bets; its All Weather strategy balances risk across stocks, bonds and commodities so that no single economic environment dominates. Dalio has since handed control of the firm to other leaders.

• Writing decision rules down and testing them against history turns judgment into a repeatable system.
• Combining many return streams that do not move together can lower risk without giving up much return.
• Balancing risk, not just money, across assets helps a portfolio hold up in growth, recession, inflation and deflation.
• Mistakes are a source of learning when they are examined openly.
• Debt cycles are a major force behind booms, busts and long-term economic shifts.

Best known for: The All Weather approach, which balances risk across asset classes, and his book Principles.

Alan Howard co-founded Brevan Howard in 2002 after trading interest rates at investment banks. His specialty is fixed income and rates: trading government bonds, interest-rate futures and related options on views about where central banks will move interest rates. Options can create an asymmetric payoff, where the possible loss is limited and known in advance while the possible gain is larger. Brevan Howard grew into one of the largest macro hedge fund firms in Europe, built around rates trading and strict risk limits.

• Central bank decisions are a main driver of bond and interest-rate markets.
• Trades with limited, known downside and larger potential upside can improve the balance of risk and reward.
• Specializing in one deep market can create an edge that broad generalists lack.
• Clear risk limits help a trading firm survive periods when its views are wrong.

Best known for: Building Brevan Howard into one of Europe's leading macro hedge funds focused on interest-rate trading.

Louis Bacon founded Moore Capital Management in 1989 and ran it as a discretionary global macro firm, trading futures, currencies, bonds and stock indexes. He built positions on views about major economic and geopolitical events, combining fundamental judgment with close attention to price trends and risk. He kept a notably low public profile for a trader of his standing. In 2019 he returned outside investors' capital and continued investing his own and his family's money through the firm.

• Major economic and geopolitical events can create large moves in currencies, bonds and commodities.
• A fundamental view gains strength when price trends confirm it.
• Controlling risk on each position protects the ability to keep trading after mistakes.
• Discretionary macro trading depends heavily on the judgment and discipline of the trader.

Best known for: Profiting from market moves around Iraq's invasion of Kuwait and the 1990–1991 Gulf War early in Moore Capital's history.

Englander's Millennium gives capital to many separate trading teams. Each team runs its own strategy in equities, fixed income, commodities or quantitative trading. A central risk group sets tight loss limits. A team that falls a set amount from its previous peak (a drawdown) has its capital cut, and a larger loss can end the arrangement. The firm aims for many small, mostly unrelated sources of return, so no single bet decides the year. Where it can, it hedges out broad market moves.

• Spreading capital across many independent strategies lowers the chance that one bad call hurts the whole firm.
• Loss limits set in advance decide when capital is cut, which removes debate in the heat of the moment.
• Returns that do not depend on the general direction of the stock market are treated as more valuable than returns that do.
• Risk is measured and monitored centrally, by people separate from those taking the positions.

Best known for: Building Millennium Management, founded in 1989, into one of the largest multi-manager hedge fund firms, a model many rivals later copied.

Griffin started trading convertible bonds (bonds that can be swapped into shares) while still a Harvard student and founded Citadel in 1990. Citadel runs several businesses side by side: fundamental equities, fixed income and macro, commodities, credit and quantitative strategies, each with its own teams. Heavy investment in technology, data and risk systems ties them together. Citadel Securities, a separate company, is a market maker. It stands ready to buy and sell securities and earns from the gap between buying and selling prices.

• Several distinct strategies under one roof can smooth results because they rarely all struggle at once.
• Technology and data infrastructure are treated as a core part of investing, not a back-office cost.
• Hiring talent and enforcing risk discipline are managed as closely as the positions themselves.
• Citadel's heavy losses in 2008 were followed by changes to its funding, liquidity and risk structure that made the firm sturdier.

Best known for: Building Citadel from a convertible bond strategy started in his Harvard dorm room into one of the largest hedge fund firms in the world.

Cohen made his name as an active, short-term stock trader. He read price action and news flow to trade around events such as earnings reports. At Point72 he oversees many trading teams that hold long and short stock positions within sector limits. A separate quantitative unit, Cubist, runs computer-driven strategies. Teams hedge broad market exposure, so results depend mainly on stock selection. Cohen has stressed position sizing: putting more money behind high-conviction ideas and cutting losing positions quickly.

• Position size matters as much as the idea itself: high-conviction trades get more capital and weak ones get little.
• Losing trades are cut quickly instead of being given time to recover.
• Hedging out general market moves lets stock-picking skill show up in the results.
• Combining human judgment with a separate quantitative unit widens the sources of return.

Best known for: His reputation as one of the most active and skilled short-term stock traders, profiled in Jack Schwager's Stock Market Wizards (2001).

Singer founded Elliott in 1977 and built it around event-driven investing. The firm buys the debt of companies in or near bankruptcy (distressed debt) and trades around mergers and restructurings. It also takes activist stakes, where it presses a company's board for changes it believes will raise value. Elliott puts heavy weight on protecting capital, holds many hedges and is willing to spend years on a single situation. Its letters to investors have long warned about leverage and hidden risks in the financial system.

• Avoiding large losses is treated as the first goal, ahead of chasing high returns.
• Patient, detailed work on complex situations such as bankruptcies can earn returns in areas most investors avoid.
• Hedges are kept even when they cost money, as protection against rare but severe events.
• Owning a stake can mean active engagement with a company's management rather than passive holding.

Best known for: Building Elliott Management into one of the oldest and largest hedge fund firms, best known for distressed debt and shareholder activism.

Balyasny began as an equity trader. He co-founded his firm in Chicago in 2001, starting with long and short stock picking. Over time it grew into a multi-strategy platform with separate teams in equities, commodities, systematic strategies and macro, which means trading interest rates, currencies and commodities based on economic views. Capital is spread across teams under central risk limits. The firm has also invested heavily in data science and research tools to support its teams.

• Adding strategies that behave differently from stock picking made results less dependent on one market.
• Central risk limits apply to every team, whatever its strategy.
• Data and research tools are shared across teams so each one can work faster.
• The platform was reshaped over two decades rather than fixed at its founding design.

Best known for: Growing Balyasny Asset Management from an equity long/short firm into a large multi-strategy platform.

Simons, a mathematician and former codebreaker, founded the firm that became Renaissance Technologies in 1978. Renaissance hired scientists rather than finance people. They used computers to search vast amounts of price and other data for small, repeating patterns. The Medallion Fund traded many such signals across futures, currencies and stocks, mostly over short periods and with borrowed money (leverage). The models made the trading decisions, and staff worked on improving them rather than overriding trades. Medallion has long been closed to outside investors.

• Many small, statistically tested edges, traded often, can add up to strong results.
• Models make the trading decisions; people work on research, not on second-guessing individual trades.
• Hiring scientists from outside finance brought fresh methods to market data.
• Clean, extensive data was treated as a central asset of the firm.

Best known for: The Medallion Fund, widely described as one of the most successful investment funds on record.

Asness studied under Eugene Fama at the University of Chicago and led quantitative research at Goldman Sachs before co-founding AQR in 1998. AQR builds portfolios from a few well-researched factors, traits that have historically been linked to returns. They include value (cheap assets), momentum (assets that have been rising), quality and low risk. AQR applies them across stocks, bonds, currencies and commodities and combines them, so that when one struggles another may help. Asness writes extensively on keeping faith in sound factors through long losing stretches.

• Value and momentum have each worked historically on their own, and better together, because they tend to succeed at different times.
• Evidence counts for more when it holds across many markets and long periods, not just one market in one era.
• Even sound strategies can lose for years, and staying with them is the hard part.
• Diversifying across factors and asset classes reduces dependence on any single idea.

Best known for: The research paper "Value and Momentum Everywhere" (Journal of Finance, 2013, with Tobias Moskowitz and Lasse Pedersen) and building AQR into a major quantitative investment firm.

Thorp applied probability first to gambling, then to markets. At Princeton Newport Partners, co-founded in 1969 with Jay Regan, he hedged convertible bonds and warrants (rights to buy shares at a set price) against the underlying stock. The aim was to profit from mispricing while staying largely shielded from market direction. He used mathematical models to value options before such methods were standard. He sized bets with the Kelly criterion, a formula that links bet size to the edge and the odds.

• Thorp put money only where he could measure an edge in his favor.
• Position size can be calculated: the Kelly criterion links bet size to the size of the edge, and Thorp often used only a fraction of it for safety.
• Hedging one security against a related one can capture mispricing while reducing exposure to market swings.
• Testing an idea with math and data before risking money helps separate a real edge from luck.

Best known for: His book Beat the Dealer (1962), which showed that card counting could win at blackjack, and his later use of the same mathematical thinking in hedged market trading.

Shaw, a computer scientist, taught at Columbia University and worked in Morgan Stanley's automated trading group. He founded D. E. Shaw & Co. in 1988. The firm used computers and statistics to find small pricing gaps between related securities, known as statistical arbitrage, and traded them at scale. Over time it combined computer-driven strategies with discretionary ones, where people make the final call, across stocks, bonds, currencies and other markets. Shaw later moved his focus to computational biochemistry at D. E. Shaw Research.

• Small, repeatable pricing gaps, found with computing power and statistics, can sustain an investment business.
• Hiring strong scientists and engineers was treated as the firm's main edge.
• Combining quantitative and discretionary strategies broadened the firm's sources of return.
• Technology infrastructure becomes a lasting advantage as markets get faster.

Best known for: Founding D. E. Shaw & Co. in 1988 as one of the first firms to apply large-scale computing to trading.

López de Prado has run quantitative money at scale. He founded and led Guggenheim Partners' quantitative investment business, headed machine learning at AQR and has led quantitative research and development at ADIA, one of the world's largest sovereign wealth funds. He treats investing as a scientific process. Start from a reason why an effect should exist, test it on data, and correct for how many tests were run. Trying enough strategies on past data will always turn up some that look great by chance, which is called backtest overfitting.

• The more strategies are tested on past data, the more likely the best one looks good by luck, so he argues results need adjusting for the number of trials.
• He argues that a backtest, a simulation on past data, is a check on an idea that already has an economic reason, not a tool for hunting patterns.
• The deflated Sharpe ratio, developed with David Bailey, adjusts a strategy's Sharpe ratio (return per unit of volatility) for the number of trials and other distortions.
• Hierarchical Risk Parity spreads risk by first grouping similar assets, aiming for steadier diversification than classic portfolio optimization.
• Machine learning helps in finance only with methods built for noisy, ever-changing market data.

Best known for: Running quantitative investment programs at Guggenheim, AQR and ADIA, and his research on backtest overfitting, set out in Advances in Financial Machine Learning (2018).

Jim O'Shaughnessy founded O'Shaughnessy Asset Management, which invested in stocks using rules tested on decades of market data. His method ranks every stock on measurable traits called factors, such as valuation (price compared with sales, earnings or cash flow), shareholder yield, earnings quality and price strength in recent months. The portfolio then holds the stocks that rank best on combined scores. The rules are applied the same way every time, so emotion and stories about individual companies play little part in decisions.

• Stocks with cheap valuations and strong recent price momentum have, in long historical tests, done better on average than expensive or weak ones.
• Combining several value measures into one score was more reliable in his tests than relying on a single ratio.
• Consistently applying a tested strategy matters more than occasional brilliant stock picks.
• Human judgment is prone to biases such as overconfidence and following stories, which rules help to limit.
• Long periods of underperformance occur even in strategies that worked over decades.

Best known for: His book What Works on Wall Street (first edition 1996), which tested many stock-selection rules on decades of US market data.

John Overdeck and David Siegel co-founded Two Sigma, which invests across many markets using computer models built from large amounts of data. The firm treats investing as a scientific problem: form a hypothesis, test it on data, and trade only ideas that hold up. It uses statistics, machine learning (software that finds patterns in data) and powerful computing to spot many small price relationships. Thousands of small, diversified bets, combined with strict risk control, aim to keep any single error from dominating results.

• Investment ideas are treated as hypotheses to be tested on data before any money is committed.
• Many small, independent edges, spread across markets, can add up to a steady result.
• Technology and data infrastructure are a core part of the investment process, not a support function.
• Hiring scientists and engineers brought methods from other fields into finance.
• Models need constant research because patterns in markets fade once others find them.

Best known for: Building Two Sigma into one of the largest quantitative investment firms by applying data science and engineering to markets.

Jean-Philippe Bouchaud is chairman and head of research at Capital Fund Management, a quantitative firm that trades futures (contracts to buy or sell an asset at a set future price), stocks and other assets with computer models. A physicist by training, he applies methods from statistical physics to markets. His work stresses that extreme price moves happen far more often than standard textbook models assume, and that the cost of trading rises with order size. CFM runs trend-following and other systematic strategies built on this research.

• Market returns have "fat tails": big moves are much more frequent than the bell-curve models in textbooks predict.
• Large orders move prices against the trader, so trading costs grow with size and must be built into any strategy.
• Trend following has shown persistent results across many markets over very long histories, according to research he co-authored.
• Models from physics and empirical observation can describe markets better than idealized economic theory.

Best known for: Applying statistical physics to finance, including research on fat-tailed risk, market impact and the long history of trend following, while leading CFM.

Granieri and Reynolds were among the founders of Jane Street in New York in 2000, after trading at Susquehanna. Jane Street is a market maker: it stands ready to buy and sell securities such as ETFs, bonds and options all day, earning small spreads on very large volumes while managing the risk of what it holds. Decisions rest on quantitative models, careful pricing and strict risk limits, and the firm is known for a collaborative, research-driven culture with no star traders.

• Many small, repeatable edges, earned on very large volumes, can add up to a large business.
• Pricing risk carefully matters more than predicting where markets go.
• Strong technology and clean code are part of the edge, not a support function.
• A collaborative culture with shared credit can keep talented people focused on the work.

Best known for: Building Jane Street into one of the largest market makers in ETFs and bonds worldwide.

Richard Dennis traded futures (contracts to buy or sell commodities or financial assets at a set future price) on the Chicago exchanges for his own account and for clients. He became known as a trend follower: buying when prices broke out above recent ranges, selling short when they broke down, and staying in while the move continued. He paired these entries with fixed rules for position size and exits. He believed the rules could be taught, which led to the Turtle experiment of 1983 and 1984.

• Buying breakouts to new highs and selling breakdowns to new lows can capture the large trends that drive most of a trend follower's profits.
• Position size was set by how much a market typically moves, so one bad trade could not do serious damage.
• Written trading rules only work if they are followed consistently, including after losses.
• Trading skill can be taught to novices with clear rules, as the Turtle experiment suggested.

Best known for: The Turtle Traders experiment, in which he and William Eckhardt recruited and trained novices through newspaper ads and gave them money to trade with fixed rules.

William Eckhardt trades futures with systematic, mostly trend-following rules, first on his own account and later through Eckhardt Trading Company, which he founded. Trained in mathematics, he builds statistically tested systems and pays close attention to risk per trade. His interview in The New Market Wizards stresses the trader's mind as much as the system: people tend to take profits too early and hold losses too long, and his rules are designed to do the opposite.

• Cutting losses quickly while letting profitable trades run counters the most common instinct of traders.
• Taking small profits too early can ruin a trend follower, because a few large winners pay for many small losses.
• Risk per trade and position size matter more to survival than the precise entry signal.
• Systems should be tested statistically and kept robust rather than fitted closely to past data.

Best known for: Co-creating the Turtle Traders experiment with Richard Dennis, having argued that trading could not be taught, and his interview on trading psychology in The New Market Wizards.

Ed Seykota trades futures for himself and, in the past, for a small number of client accounts, using trend-following systems. In the early 1970s he was among the first to run trading rules on a computer, testing them on historical price data. His systems buy into rising trends, sell into falling ones and exit when the trend reverses, with small risk per trade. He also stresses psychology: in his view, results often reflect what a trader unconsciously wants, so self-awareness is part of the method.

• Following the trend and exiting when it turns has historically captured large moves in futures markets.
• Cutting losses early and risking only a small part of capital per trade keeps a trader in the game.
• Computer testing of rules on past prices can remove guesswork and emotion from decisions.
• A trader's feelings and hidden motives shape results, so working on psychology is part of trading.
• Discipline in following the system matters more than predicting where prices go.

Best known for: His interview in Jack Schwager's Market Wizards (1989), which described his early computerized trend-following systems and very large reported returns in client accounts.

John W. Henry founded John W. Henry & Company, which managed client money with fully systematic, long-term trend-following programs in futures and currencies. The firm's rules aimed to identify and hold major price trends in interest rates, currencies, metals and other markets for months, accepting many small losses along the way. Decisions came from the system rather than from forecasts or judgment calls, and the firm deliberately avoided overriding signals, viewing discipline as the source of its edge.

• Long-term trends in currencies and interest rates can last months or years and supply most of a trend follower's profits.
• Following the system without discretionary overrides keeps decisions consistent.
• Trend following brings long, uncomfortable losing periods between strong years.
• Trading many markets with one consistent method spreads risk across different economies and asset classes.

Best known for: Building JWH into one of the best-known trend-following trading firms of the 1980s and 1990s, notably through its currency and financial futures programs.

Bill Dunn founded Dunn Capital Management in 1974 and ran it as a fully systematic trend-following firm in futures (contracts to buy or sell a commodity, currency, bond or stock index at a set price on a later date). Its programs follow long-term price trends across many markets, and computer rules make the decisions instead of day-to-day judgment. Position sizes come from estimated risk, so each market carries a comparable share of potential loss. The firm is known for holding to its rules through deep, long losing periods.

• Trading decisions come from tested rules, not from forecasts or opinions about the news.
• Position size is set from measured risk, so no single market dominates the account.
• Long-term trends across many markets are the source of return, so many small losses are accepted while waiting for large trends.
• Deep drawdowns (falls from a previous peak) are treated as a known cost of the method, not a reason to change the rules mid-course.

Best known for: Running a purely rules-based, long-term trend-following firm for decades and staying with the model through severe drawdowns.

David Harding co-founded AHL in 1987 with Michael Adam and Martin Lueck, then founded Winton Capital in 1997, now Winton Group. Winton runs computer-driven strategies across many futures and other markets. Harding treats investing as an empirical research problem: collect clean price and economic data, test ideas statistically, and trade only what holds up in the evidence. Trend following was the core at first, later joined by other systematic signals. The firm puts heavy weight on research staff, data quality and steady risk control.

• Investing can be approached like a science: form a hypothesis, test it on data, keep what survives.
• Clean, long data histories matter as much as clever models.
• Trading many markets at once spreads risk and gives more chances to catch trends.
• Steady risk control across positions keeps any single market from deciding the outcome.

Best known for: Building Winton into one of the best-known systematic trading firms after co-founding AHL.

Martin Lueck co-founded AHL in 1987 with David Harding and Michael Adam; the firm's name comes from the three founders' surnames. AHL ran computer-driven trend-following programs across many futures and currency markets: rules tested on historical data decided when to buy and sell, and risk was spread so that no single market dominated. Man Group bought AHL in stages between 1989 and 1994, and it became Man's systematic arm. In 1997 Lueck co-founded Aspect Capital, again built around medium-term trend following.

• Trading rules tested on decades of data can replace day-to-day judgment.
• Spreading risk over many futures and currency markets keeps any single trend from dominating results.
• A systematic program has to be run the same way through long flat spells to catch the large moves.

Best known for: Co-founding AHL, one of Europe's earliest systematic trend-following managers, which became Man AHL, and then Aspect Capital.

Jerry Parker learned trend following as one of the Turtles, the trainees Richard Dennis and William Eckhardt recruited and taught in 1983 to test whether trading could be taught. He founded Chesapeake Capital in 1988 and runs it as a long-term, systematic trend-following firm across a wide range of futures markets. Entries come from price breakouts (prices moving past recent highs or lows), positions are closed when trends fail, and winning positions are held for long periods. He argues for wide diversification and strict adherence to the rules.

• Trading skill can be taught as a set of written rules, as the Turtle experiment set out to show.
• Breakouts to new highs or lows are used as signals that a trend may be starting.
• Small, quick losses and long-held winners together drive the results.
• Trading many markets matters because nobody knows in advance which market will produce the big trend.

Best known for: Being one of the original Turtle Traders and building Chesapeake Capital on the trend-following rules he learned there.

Richard Donchian is widely called the father of trend following. In 1949 he started Futures Inc., one of the first publicly offered commodity futures funds, and he later worked at Shearson Hammill. He traded and published rules that reacted to price instead of forecasts: buy when a market makes a new high over a set number of weeks, sell when it makes a new low. His four-week rule and the breakout channel named after him became building blocks for later systematic traders, including the Turtles.

• Price itself is the signal; forecasts about supply, demand or news are not needed to act.
• A new high or low over a fixed number of weeks can mark the start of a trend.
• Written, mechanical rules remove much of the emotion from trading decisions.
• Pooling money into a futures fund opened trend trading to a wider group of investors.

Best known for: The Donchian channel and four-week breakout rule, early mechanical trend rules later adapted by the Turtles and many systematic traders.

Tom Basso founded Trendstat Capital Management in 1980 and ran systematic trend-following programs in futures and currencies until retiring in 2003. His focus was less on entry signals than on position sizing and risk: each position was sized and adjusted so its risk and volatility (how much a price swings) stayed within set limits, and many unrelated markets were traded at once. Jack Schwager profiled him in The New Market Wizards, where his calm, process-driven temperament stood out.

• How much to buy matters more to results than the exact entry signal.
• Each position's risk and volatility are kept within fixed limits and adjusted as markets change.
• Trading many markets with different behavior smooths the overall ride.
• A calm, unhurried state of mind is part of the trading process, not separate from it.

Best known for: His emphasis on position sizing and emotional calm, made widely known through Jack Schwager's The New Market Wizards.

Hite ran Mint as a rule-based trend-following operation: computer models bought futures (contracts to buy or sell later at a set price) that were rising and sold those that were falling. He described the method as approaching markets backwards, asking first how much could be lost. Each trade risked about 1 percent of equity, Mint traded many markets worldwide with several systems of different lengths, and it tracked volatility (how much prices swing) to step back from markets where risk grew too large.

• He asked first how much a trade could lose, not how much it could make.
• Risk on each trade was limited to about 1 percent of total equity, so no single trade mattered much.
• Risk was spread across many world markets and several systems with different time spans.
• Mint did not trade against the trend and followed its system without exceptions.
• Being wrong often was accepted as long as each loss stayed small.

Best known for: Co-founding Mint Investment Management, a systematic futures firm that by 1990 was the largest commodity trading advisor by assets, and the risk rules he set out in Market Wizards.

David Booth co-founded Dimensional Fund Advisors in 1981 with Rex Sinquefield. Drawing on academic research, especially by his former University of Chicago professor Eugene Fama, Dimensional built rules-based stock portfolios that hold broad markets but lean toward groups that research linked with higher expected returns, such as smaller companies, cheaper (value) stocks and more profitable firms. It does not forecast individual stocks, keeps trading low and trades patiently to reduce costs. Dimensional began offering ETFs (exchange-traded funds) in 2020.

• Market prices already reflect most available information, so picking individual stocks is avoided.
• Academic research can point to broad groups of stocks with higher expected returns, such as small, value and profitable companies.
• Patient, flexible trading keeps costs down.
• Broad diversification across thousands of stocks reduces the risk of any single company.

Best known for: Turning academic finance research, especially Eugene Fama's work, into rules-based stock portfolios at Dimensional.

Rob Arnott founded Research Affiliates in 2002, a firm that designs investment strategies and indexes that other firms license. He is best known for fundamental indexing: instead of weighting companies by stock market value, the RAFI indexes weight them by business size measures such as sales, cash flow, dividends and book value. Rebalancing back to these weights trims stocks whose prices have run ahead and adds to those that have fallen, a built-in contrarian tilt. He also writes widely on valuation and long-term return expectations.

• Weighting stocks by market value puts the most money into the most expensive stocks.
• Weighting by business measures such as sales, cash flow, dividends and book value breaks that link to price.
• Regular rebalancing sells what has become expensive and buys what has become cheap.
• Starting valuations shape long-term return expectations for stocks and bonds.

Best known for: Fundamental indexing, set out in the book The Fundamental Index and used in the RAFI indexes.

John Bogle founded The Vanguard Group in 1975 and in 1976 launched the First Index Investment Trust, now the Vanguard 500 Index Fund, the first index mutual fund for individual investors. It held the stocks of the S&P 500 in proportion to their size instead of picking stocks. He structured Vanguard to be owned by its funds, which he argued kept costs low. His core argument: investors as a group earn the market return minus costs, so low costs and long holding periods matter most.

• Investors as a group earn the market's return before costs, so after costs the average investor earns less.
• Fees and trading costs compound over time just as returns do, in the opposite direction.
• Owning the whole market through an index fund removes the risk of picking the wrong stocks or funds.
• Holding for the long term and trading rarely keeps costs and mistakes down.

Best known for: Launching the first index mutual fund for individual investors in 1976, now the Vanguard 500 Index Fund.

David Swensen ran the Yale University endowment as chief investment officer from 1985 until his death in 2021. His Yale Model cut reliance on US stocks and bonds and spread money across many asset classes, including foreign stocks, private equity, venture capital, absolute return (hedge-fund style) strategies and real assets such as timber and property, run by carefully chosen outside investment firms. Yale's very long horizon let it hold illiquid (hard-to-sell) assets. For individuals, his book Unconventional Success favored diversified, low-cost index funds and regular rebalancing.

• Spreading money across many genuinely different asset classes reduces dependence on any one market.
• A very long horizon allows an investor to accept illiquid assets that others avoid.
• Regular rebalancing back to target weights keeps risk in line with the plan.
• What suits a large endowment with expert staff differs from what suits an individual, who in his view was better served by low-cost index funds.

Best known for: The Yale Model of endowment investing, set out in Pioneering Portfolio Management.

Harry Browne was a private investor, adviser and newsletter writer who designed the Permanent Portfolio: equal quarters in stocks, long-term US Treasury bonds, gold and cash (short-term Treasury bills). Each asset is meant to do well in one economic climate: prosperity, inflation, recession or deflation, and tight money. He did not try to forecast which climate would come next. The portfolio is held and periodically rebalanced back to the quarters. He kept any speculative money in a small, separate pot that he called the Variable Portfolio.

• No one can reliably forecast the economy, so a core portfolio can be built to hold up in several different economic climates.
• Stocks, long-term bonds, gold and cash tend to respond differently to prosperity, inflation, deflation and tight money, so together they balance each other.
• Rebalancing back to fixed weights is a rule-based way to trim what has risen and add to what has fallen.
• Money meant for speculation belongs in a separate, limited pot so that mistakes there cannot damage the core savings.

Best known for: The Permanent Portfolio: 25% each in stocks, long-term Treasury bonds, gold and cash, set out in Fail-Safe Investing.

Howard Marks co-founded Oaktree Capital Management in 1995 and built it into a large investor in high-yield bonds and distressed debt (the debt of companies in or near financial trouble, often bought well below face value). Before that he ran similar strategies at TCW. His approach is defensive: avoid big losses first, buy when other investors are fearful and prices are low, and judge where the market stands in its cycle rather than predict exact turning points. He shares his reasoning in client memos published since 1990.

• Second-level thinking: an investment does well only if reality turns out better than what the price already expects, so it pays to ask what others think, not just what is true.
• Risk is mainly the chance of permanent loss, not day-to-day price swings.
• Markets move like a pendulum between greed and fear, and knowing roughly where the cycle stands helps decide how defensive or aggressive to be.
• Avoiding big losers matters more over time than catching every winner.
• The best bargains tend to appear when other investors are forced or frightened sellers.

Best known for: His client memos, including warnings about the dot-com bubble in early 2000, and the book The Most Important Thing.

Bill Gross co-founded PIMCO (Pacific Investment Management Company) in 1971 and for decades led its bond investing, including the PIMCO Total Return Fund. He treated bonds as a total return business: income plus price changes, not just collecting interest until maturity. PIMCO set its positioning from a secular outlook, a structured view of the economy three to five years ahead, then adjusted duration (how sensitive bonds are to interest rate changes), credit quality and sector bets around it. He later invested at Janus before retiring in 2019.

• Bonds can be managed for total return, the sum of interest income and price changes, rather than only held for their coupon.
• A long-range view of the economy, reviewed regularly, can anchor short-term decisions.
• Duration, the sensitivity of a bond to interest rates, is one of the main levers of bond risk and return.
• Thinking in odds and position sizes, an idea he linked to his early experience counting cards at blackjack, helps keep any single bet from doing too much damage.

Best known for: Building PIMCO and the Total Return Fund into one of the largest bond investing businesses, which earned him the nickname 'Bond King'.

Jeffrey Gundlach built his name at TCW, where he became chief investment officer, and founded DoubleLine Capital in 2009, serving as its chief executive and chief investment officer. His specialty is mortgage-backed securities: bonds paid from pools of home loans, including loans with no government backing. He combines detailed analysis of how borrowers repay, refinance or default with broad views on interest rates, inflation and the economy, and he explains those views in regular public webcasts packed with charts.

• Deep knowledge of one complex corner of the bond market, mortgage-backed securities, can be a lasting edge.
• How and when borrowers repay or default drives the value of mortgage bonds as much as interest rates do.
• Mixing different types of bonds whose risks behave differently can make a portfolio steadier.
• Laying out the reasoning and data behind a view publicly forces clear thinking about it.

Best known for: Leading mortgage bond investing at TCW and founding DoubleLine Capital, which made him one of the best-known bond investors of his generation.

Dan Ivascyn joined PIMCO in 1998, worked on mortgage and credit investing, and became group chief investment officer in 2014. He co-leads the PIMCO Income Fund, which aims for steady income across many bond sectors, with Alfred Murata. After the 2008 crisis the team became known for buying non-agency mortgage bonds (home-loan bonds without government backing) when they were deeply out of favor. The approach combines top-down views on rates and the economy with bottom-up selection of individual bonds, with a stated focus on avoiding large losses.

• Income can be built from many bond sectors at once instead of relying on a single type of bond.
• After a crisis, unloved assets can offer high income for investors who analyze them carefully.
• Combining an economic view with detailed bond-by-bond research spreads the sources of return.
• Avoiding large losses is central when the goal is a steady stream of income.

Best known for: Co-leading the PIMCO Income Fund and succeeding Bill Gross as head of PIMCO's investing as group chief investment officer.

Tepper built Appaloosa around buying the bonds, preferred shares and stocks of troubled companies, often when other investors were frightened or forced to sell. He moves across a company's capital structure (the layers of debt and shares it has issued), choosing the piece with the best payoff for its risk, and adds judgment about government and central bank policy. His largest gains came after crises, as in 2009, when he bought bank securities near their lows.

• The best buying chances in credit often appear right after a crisis, when prices assume the worst.
• Government and central bank actions can decide whether distressed assets recover.
• Comparing the bonds, preferred shares and stock of one company helps find the best payoff for the risk.
• Concentrated bets on recoveries produce volatile results, including large losing years.

Best known for: Buying beaten-down bank stocks and bonds in early 2009, which helped Appaloosa gain about 132% that year.

Jim Rogers co-founded the Quantum Fund with George Soros in the early 1970s and left in 1980 to invest his own money as a private investor. He looks for big, long-lasting shifts in supply and demand, often in commodities and in countries that other investors ignore. He researches on the ground, including two long journeys around the world, buys assets that are cheap and neglected, and then holds them for years. In 1998 he launched the Rogers International Commodity Index, a broad basket of commodity futures (contracts for future delivery).

• Commodity prices move in long cycles driven by supply and demand, because new supply such as mines and oil fields takes years to build.
• Cheap, neglected assets with a coming change in fundamentals offer the best odds.
• Seeing a country or industry firsthand can reveal what reports and headlines miss.
• Waiting, doing nothing until a clear opportunity appears, is part of the method.

Best known for: Co-founding the Quantum Fund with George Soros and, later, his long-running case for commodities in the book Hot Commodities.

Andrew Hall traded oil at BP before joining Phibro, the commodity trading house then owned by Salomon Brothers and later Citigroup, which he ran for many years. He later led Astenbeck Capital Management. His trading was built on long-term supply and demand: he studied oil fields, production costs and demand growth and often took positions in long-dated futures, betting on where prices would settle years ahead rather than next week. Those positions could swing sharply in the short run.

• Long-term oil prices are anchored by the cost of finding and producing new supply.
• Long-dated futures let a trader express a view on prices years ahead instead of on short-term noise.
• Careful study of physical supply, from individual fields to global demand, can underpin a high-conviction view.
• A sound long-term view can still face large short-term losses, so position size has to allow for them.

Best known for: Running Phibro's oil trading for many years with long-horizon bets based on oil supply fundamentals.

Pierre Andurand traded oil at banks and at the trading house Vitol before co-founding BlueGold Capital and later founding Andurand Capital Management. He is a discretionary oil trader who builds a detailed view of global supply and demand, inventories and spare production capacity, then takes large, concentrated positions when he believes prices are far from where those fundamentals point. Results have been volatile, with strong gains in some years and deep losses in others, which he treats as part of a high-conviction approach.

• Inventories and spare production capacity are key signals of whether oil supply is tight or loose.
• Large positions are taken only when the gap between price and fundamentals looks wide.
• High-conviction, concentrated trading brings much larger swings in results than a diversified approach.
• A view built from detailed data can be held against the crowd, but it has to be revisited when the data changes.

Best known for: High-conviction, fundamentals-based oil trading at BlueGold Capital and Andurand Capital Management.

John Arnold traded natural gas at Enron, where he led its gas derivatives trading, then founded the energy trading firm Centaurus Energy in 2002. He traded natural gas futures and spreads (bets on the price difference between two contracts, for example winter versus summer delivery), based on close study of storage levels, weather, production and pipeline flows. He is widely reported to have taken the opposite side of Amaranth Advisors' large gas bets in 2006. He closed Centaurus in 2012 to focus on philanthropy.

• Natural gas prices are driven by storage, weather and production, so tracking those data closely can create an edge.
• Spreads between delivery months can express a precise view with different risks than a plain bet on price direction.
• Very large positions held by one trader can become a weakness when that trader cannot exit without moving the market.
• Specializing in a single market allowed a level of knowledge few competitors matched.

Best known for: Natural gas trading at Enron and Centaurus, including the widely reported 2006 episode in which he was on the other side of Amaranth Advisors' losing gas positions.

Williams trades futures over short horizons, often a few days, using rule-based patterns he has researched in price history: daily price ranges, calendar and seasonal tendencies, and the positions of commercial hedgers shown in the Commitments of Traders report (a weekly government count of who holds which futures). He pairs these signals with money management rules that set how much of the account is risked on each trade, and he has published and taught his methods for decades.

• Short-term price swings show recurring patterns that can be studied and counted in historical data.
• Seasonal tendencies and the positions of commercial hedgers can tilt the odds in commodity futures.
• How much is risked on each trade shapes results as much as the entry signal does.
• Heavy leverage can produce record gains, but also very large swings in the account along the way.

Best known for: Winning the 1987 World Cup Championship of Futures Trading with a reported 11,376% return in one year.

Sprott founded Sprott Securities and later built Sprott Inc. in Toronto, a firm centered on gold, silver and mining. He has long argued that high government debt and loose monetary policy favor precious metals, and he put large sums behind that view. These include physical metal, big stakes in mining companies and listed trusts that hold physical gold and silver bars. He backs junior miners, small exploration companies, often through private placements (shares sold directly to investors) and holds through deep sector downturns.

• Debt levels and monetary policy are central to the case for gold and silver.
• Owning physical metal is different from owning paper claims on metal.
• Small exploration companies offer large upside and high failure risk, so they are held as a basket.
• Conviction in a sector means holding through long and painful bear markets.
• Investing alongside one's own clients aligns interests.

Best known for: Building Sprott Inc. into a leading precious-metals investment firm and launching listed trusts that hold physical gold and silver.

Hathaway co-led the Tocqueville Gold Fund from its launch in the late 1990s and later moved with the gold team to Sprott. He treats gold as a monetary asset, a store of value outside the banking system, and invests mainly in gold mining shares. His essays link the gold price to debt, interest rates and trust in central banks. He picks miners on deposit quality, costs and management, and holds through long cycles in which the sector can fall far before recovering.

• Gold is a monetary asset whose value rises when trust in paper money and central banks falls.
• Mining shares move more than the gold price itself, in both directions.
• Company quality, meaning deposits, costs and management, separates surviving miners from failing ones.
• Long, deep downturns are part of investing in gold miners.
• Writing out the reasoning behind a position helps keep a long-term view.

Best known for: Running the Tocqueville Gold Fund for over two decades and his widely read essays on gold as money.

Rule has spent five decades investing in natural resources, first as a broker and then through Global Resource Investments, which Sprott acquired. He later led Sprott U.S. Holdings before retiring from Sprott. He is a contrarian, buying resource companies when the sector is out of favor and prices are low. He favors private placements, often with warrants (rights to buy more shares later at a set price). He stresses judging management teams and accepts that most exploration companies fail.

• Resource sectors are deeply cyclical, and the best buying often comes when sentiment is worst.
• Most junior exploration companies fail, so selection and diversification matter.
• Management quality and how much of their own money they invest are key tests.
• Private placements with warrants can add upside when entered at depressed prices.
• Selling into enthusiasm matters as much as buying into despair.

Best known for: His contrarian approach to resource stocks and long career financing exploration and mining companies.

Lassonde co-founded Franco-Nevada with Seymour Schulich and helped pioneer the gold royalty model. Instead of running mines, a royalty company pays upfront for a share of a mine's future output or revenue. It carries no operating costs and gains if the mine expands or new gold is found on the land. Franco-Nevada's royalty on Nevada land that became Barrick's Goldstrike mine turned highly valuable. After a 2002 merger with Newmont, Lassonde became Newmont's president. Franco-Nevada was later relaunched as a separate company.

• Owning a share of revenue can capture a mine's upside without its operating costs.
• Exploration success on land you hold a royalty on is free upside.
• Many small royalties across mines and countries spread risk.
• Low-cost, cash-generating business models hold up better in metal price downturns.
• Patience pays in mining, where projects take years to develop.

Best known for: Building Franco-Nevada and its gold royalty business model, including the Goldstrike royalty in Nevada.

Friedland builds and finances mining companies rather than trading listed shares. He backs very large land positions in little-explored regions, pays geologists to drill them and raises outside money in stages as results come in. After prospectors hired by Diamond Fields found nickel at Voisey's Bay, he guided the company's financing and ran the bidding that ended in Inco's C$4.3 billion purchase in 1996. He then applied the pattern at Oyu Tolgoi in Mongolia, optioned from BHP in 2000, and at Kamoa-Kakula in the Democratic Republic of Congo, staying with projects for decades.

• Securing very large ground around an early discovery (his 'stake-to-the-horizon' approach) leaves little for latecomers.
• One very large discovery can pay for many exploration bets that find nothing.
• Raising money in many rounds, then selling to or partnering with large companies (Inco as buyer of Voisey's Bay, Rio Tinto and Zijin as partners), is a core part of turning a discovery into a mine.
• Large deposits can take decades to develop: Kamoa-Kakula started production after 24 years of exploration and development.

Best known for: Financing and selling the Voisey's Bay nickel discovery, then building the Ivanhoe companies behind Oyu Tolgoi and Kamoa-Kakula.

Beaty is a trained geologist who builds mining companies rather than trading their shares. He buys mineral assets when metal prices and mining shares are depressed, puts experienced teams in charge and moves projects toward production, then sells or merges the companies once markets value them highly. He founded Pan American Silver in 1994 and, in 2001 and 2002, when copper prices were at real-terms lows, built Lumina Copper from deposits others considered worthless. In renewable power, his Alterra Power was sold to Innergex in 2018.

• Mining is cyclical, and in his view moments of chaos have tended to offer good buying opportunities.
• Large known deposits bought cheaply near a cyclical low work like options on higher metal prices.
• In his words, investors need to think as contrarians and not follow the pack.
• Cheap deposits still need to be free of fatal flaws, such as problems with metallurgy (how the ore is processed) or local community support.

Best known for: Founding Pan American Silver and Equinox Gold, and buying mining assets when prices and sentiment were at their weakest.

Lundin worked alongside his father, Adolf Lundin, from the early 1980s and later led the family's group of listed resource companies. The group's usual pattern was to buy or explore large deposits, often in countries other companies avoided. It financed them with family money alongside outside shareholders, then developed, merged or sold them. The best-known example is Lundin Gold's 2014 purchase of Fruta del Norte in Ecuador from Kinross, which had written the project down and walked away.

• High-quality deposits can be bought cheaply from owners who want out: Kinross sold Fruta del Norte for US$240 million after a US$720 million charge.
• A country many companies saw as high risk can hold assets the market has priced too low.
• The family put its own money in alongside other shareholders, committing up to US$100 million to the Fruta del Norte financing.
• Takeovers, mergers and sales were regular ways to realize value, as with Red Back Mining and the Tenke Fungurume stake.

Best known for: Leading the Lundin Group's mining companies, including the purchase and development of the Fruta del Norte gold mine in Ecuador.

Bruce Kovner founded Caxton Associates in 1983 after starting as a self-taught futures trader in the 1970s and trading at Commodities Corporation. He forms a fundamental view on currencies, interest rates and commodities, then uses price charts to time his entries. Before entering, he decides where the idea is shown to be wrong and places his stop-loss, an order that exits the position, at that point. He keeps the risk on each trade small relative to the account, and he stepped back from running Caxton in 2011.

• The exit point should be decided before the entry.
• A stop-loss belongs at the price where the trade idea is clearly wrong, not at a random distance.
• Risking only a small share of the account on each trade lets a trader survive a string of losses.
• Fundamental analysis says what might happen; price action helps decide when.
• Overtrading and positions that are too large are the main causes of trading failure.

Best known for: His Market Wizards interview, which made his risk-first approach to currency and futures trading widely known.

Lipschutz started trading stocks with a small inheritance while at Cornell. He then joined Salomon Brothers and became one of its leading foreign-exchange (currency) traders in the 1980s, before founding Hathersage Capital Management. In Jack Schwager's The New Market Wizards he describes building a view of what the market already expects. He watches how prices react to news rather than the news itself, and cuts position size sharply during losing periods.

• How a market reacts to news matters more than the news itself.
• Knowing what the market already expects helps judge a surprise.
• Position size is cut sharply after losses and rebuilt only after profits return.
• Currency markets trade around the clock, so risk exists outside office hours.
• Large positions need to fit the liquidity of the market.

Best known for: His years as a leading currency trader at Salomon Brothers, profiled in Jack Schwager's The New Market Wizards.

McKay started as a runner on the Chicago Mercantile Exchange floor in the late 1960s. He traded for his own account from the early 1970s and became one of the most successful traders in the currency futures pits, later also trading the interbank currency market. In Jack Schwager's The New Market Wizards he describes leaving a losing trade at once, without debate. He also cut position size step by step in losing streaks, so a bad run did limited damage, and rebuilt size as profits returned.

• A losing trade is closed quickly, without second-guessing.
• Position size shrinks during losing streaks and grows only after profits return.
• Emotional state affects trading, so stepping back after big losses protects capital.
• Large winning trades come from holding positions while they keep working.
• Trading discipline counts more than any single forecast.

Best known for: His long career as a Chicago currency futures trader and his rules for scaling down size during losing periods, described in The New Market Wizards.

Taylor built FX Concepts around rule-based currency trading. The firm's computer models followed trends in exchange rates and also drew on cycle analysis, which looks for recurring rhythms in market prices. Positions were taken across many currency pairs at once, so no single country decided the outcome. Taylor combined this systematic core with public macro commentary on the dollar and the global economy, but the trading itself relied mainly on models rather than day-to-day judgment calls.

• Currencies can be traded as a separate source of return, not only hedged as a side effect of owning foreign stocks or bonds.
• Rule-based models can follow exchange-rate trends across many currency pairs at once.
• Cycle analysis assumes markets move in repeating rhythms that can be measured and used for timing.
• A firm's size, client base and leverage shape how it survives long losing stretches.

Best known for: Building FX Concepts into one of the largest dedicated currency hedge funds before the firm wound down in 2013.

O'Shea trades global macro, meaning he takes positions in currencies and interest rates based on how economies and central banks are changing. He forms a view, then watches how prices react to news to judge whether the market agrees. Before entering he decides what price action would show the idea is wrong, and he sizes positions so that being wrong costs little. He has described being comfortable riding a trend he cannot fully explain rather than fighting it.

• Decide in advance what would prove a trade idea wrong, and exit when that happens.
• How prices react to news can reveal more than the news itself.
• Being early on a correct idea can lose as much money as being wrong.
• Keeping each loss small allows many attempts over a career.
• Bubbles and trends can run far longer than valuation alone suggests.

Best known for: His interview in Jack Schwager's Hedge Fund Market Wizards (2012), where he explained his risk-first approach to macro trading.

Starting in 2020, Saylor led Strategy to swap its cash reserves for bitcoin and then keep buying. The purchases have been funded with company cash, convertible bonds (loans that can turn into shares) and the sale of new shares. The stated plan is long-term holding with no intention to sell. This makes the company's share price a leveraged bet on bitcoin, and it created a template other listed companies have copied as so-called bitcoin treasury companies.

• Saylor argues that cash held by companies loses value to inflation and that bitcoin is a better long-term store of value.
• A listed company can raise capital through shares and convertible bonds to buy an asset it plans to hold for many years.
• Buying on a fixed policy, regardless of short-term price moves, removes the need to time entries.
• Concentrating a balance sheet in one volatile asset magnifies both gains and losses for shareholders.

Best known for: Making MicroStrategy, now Strategy, the first large listed company to adopt bitcoin as its main treasury reserve asset, beginning in August 2020.

Novogratz brings the habits of a global macro trader to digital assets. He looks at money supply, interest rates, regulation and investor adoption to judge where crypto is in its cycle, then takes positions accordingly. At Galaxy Digital he built a firm that trades crypto, runs investment funds, invests in early-stage companies, offers advisory services and operates mining and data center businesses. He has spoken openly about crypto's large booms and busts and about mistakes made along the way.

• Crypto prices respond strongly to broad money and interest-rate conditions, as other risky assets do.
• Adoption by institutions and clearer rules can matter as much as the technology itself.
• Crypto markets move in large cycles, so position size and survival through drawdowns (falls from a peak) matter.
• Spreading a business across trading, investing and infrastructure reduces dependence on a single crypto price.

Best known for: Founding Galaxy Digital in 2018 as one of the first diversified financial firms focused on digital assets.

Hayes started as an equity derivatives trader at investment banks in Hong Kong before co-founding BitMEX. Through Maelstrom he invests in crypto tokens and early-stage projects. His trading view is built on liquidity: how much money central banks and governments create, and how that money flows into risky assets such as bitcoin. He publishes long essays explaining these macro views and how he positions for them, mixing big-picture themes with tactical trades.

• Crypto prices are driven heavily by global liquidity, meaning how much money central banks create.
• Perpetual swaps, futures contracts with no expiry date, let traders hold leveraged crypto positions without rolling contracts.
• Writing out a full investment thesis in public forces clear reasoning about why a trade should work.
• Leverage available on crypto derivatives can wipe out positions quickly when prices move sharply.

Best known for: Co-founding BitMEX, which popularized the perpetual swap contract that became the most traded instrument in crypto.

Morehead was a macro trader at Goldman Sachs and Tiger Management before founding Pantera as a global macro firm. In 2013 Pantera turned to bitcoin, launching a dedicated bitcoin fund. Today the firm invests in bitcoin, other tokens and early-stage blockchain companies, with a long holding period. Morehead explains his views in regular investor letters, often framing crypto as a long-term adoption story that still goes through deep and sometimes long price declines.

• New technologies can be valued by tracking user adoption, much as the early internet was.
• Long holding periods let an investor sit through crypto's deep drawdowns (falls from a peak).
• Combining liquid tokens with venture stakes gives exposure at different stages of a project's life.
• Regular written letters to investors make a firm's reasoning open to review over time.

Best known for: Launching the Pantera Bitcoin Fund in 2013, among the first institutional bitcoin funds in the United States.

O'Neil studied the biggest stock winners going back decades and looked for what they had in common before their large rises. He combined fundamentals, such as fast-growing earnings and sales, with chart patterns, buying when a strong stock broke out of a price base near new highs. He watched the overall market direction and stepped aside in weak markets. He sold any stock that fell about 7–8% below his purchase price, keeping losses small while letting winners run.

• Studying past big winners can reveal shared traits worth looking for in new candidates.
• Strong current and annual earnings growth often came before major price rises.
• Buying stocks near new highs, not after big falls, follows strength rather than hoping for recoveries.
• A fixed loss limit of about 7–8% below the purchase price keeps single mistakes small.
• Most stocks tend to follow the broad market, so its direction matters for every position.

Best known for: The CAN SLIM method, set out in his book How to Make Money in Stocks.

Darvas traded his own money as a private investor while touring the world as a professional dancer. He bought stocks making new highs that moved within what he called 'boxes', price ranges a stock traded in before breaking out higher. He favored companies with strong earnings growth, a mix of chart and business analysis he called techno-fundamentalist. He placed a stop-loss order (an automatic sell order at a set price) just under each box and raised it as the stock climbed.

• A stock breaking out of a tight price range to new highs, ideally on rising trading volume, was his main buy signal.
• A stop-loss order placed just below the box limited the damage when a breakout failed.
• Raising the stop as a stock moved into higher boxes let profits run while protecting gains.
• Pairing price action with rising company earnings helped him focus on stocks with a business reason to keep rising.
• Trading by telegram from far away kept him away from rumors and tips, which he found hurt his results.

Best known for: His book How I Made $2,000,000 in the Stock Market, which describes his 'box' method of buying breakouts with stop-loss orders.

Livermore traded his own money, starting in the 'bucket shops' (betting parlors on stock prices) of Boston as a teenager. He waited for what he called pivotal points, price levels where a big move tended to begin, then bought or sold short (bet on a fall) once the market confirmed his view. He added to winning positions as they moved his way, cut losing ones, and held on through large trends. Heavy use of borrowed money also left him broke more than once.

• Waiting for the market to confirm a view before committing money mattered more to him than predicting.
• Adding to a position only after it showed a profit, a method called pyramiding, put more money into trades that were working.
• Sitting through a large trend, rather than taking small profits early, produced his biggest gains.
• Tips and inside stories led to many of his losses, which pushed him toward relying on price action alone.
• Too much leverage (borrowed money) turned good market reads into ruin several times in his career.

Best known for: His career as told in Edwin Lefèvre's Reminiscences of a Stock Operator, including his short selling in the panics of 1907 and 1929.

Minervini trades his own money in U.S. stocks, buying companies that are already in strong uptrends and show fast-rising earnings and sales. His method, which he calls SEPA (Specific Entry Point Analysis), looks for quiet periods where price swings narrow, a setup he named the volatility contraction pattern, and buys when the stock breaks out. He sets a tight stop loss on every trade, keeps losses much smaller than gains, and reviews his own results to keep improving.

• Buying stocks already in a long-term uptrend near their highs puts the market's direction on the trader's side.
• A narrowing of price swings before a breakout can signal that selling pressure is drying up.
• Small, quick losses paired with larger gains can make a strategy profitable even when many trades fail.
• Strong growth in earnings and sales helps separate real leaders from stocks that are only moving on hype.
• Keeping statistics on one's own trades shows where results come from and what needs fixing.

Best known for: Winning the U.S. Investing Championship in 1997 and his SEPA method and volatility contraction pattern, described in Trade Like a Stock Market Wizard.

Ryan traded growth stocks using the methods of William O'Neil, whose firm he joined in the early 1980s. He searched for companies with fast earnings growth, strong relative strength (a stock rising more than the overall market) and new products or management, and bought as they broke out of a base, a sideways period on the chart. He cut losses quickly and kept a notebook of charts of past winners and his own trades to learn which patterns repeated.

• Big winning stocks in the past shared traits, such as fast earnings growth and strong relative strength, that could be looked for in new candidates.
• Buying as a stock broke out of a sideways base timed entries to the start of a possible move.
• Cutting losses quickly kept mistakes from growing into large drawdowns (falls from a peak).
• Annotating charts of every trade turned past wins and losses into a personal study guide.

Best known for: Winning the U.S. Investing Championship three times in a row in the 1980s using William O'Neil's growth stock method, as told in Jack Schwager's Market Wizards.

Brandt trades futures (contracts to buy or sell a commodity, currency or index at a future date) through his own firm, Factor LLC, using classical chart patterns such as triangles, rectangles and head-and-shoulders formations. He treats a pattern less as a forecast and more as a place to define risk: before entering he decides where he will get out if wrong. He risks a small slice of capital on each trade, accepts that many trades lose, and depends on a few large winners.

• Chart patterns are useful mainly as a way to set entry and exit points, not as reliable predictions.
• Deciding the exit price before entering a trade keeps each loss small and planned.
• Risking only a small percentage of capital per trade lets a trader survive long losing streaks.
• A minority of large winning trades can pay for many small losses.
• Reviewing past trades and mistakes in writing is part of the trading process.

Best known for: His book Diary of a Professional Commodity Trader, which shows his classical charting method and risk rules through a year of real trades.

Raschke began on the options trading floors and went on to trade futures for her own account and for clients through LBRGroup. She is a short-term swing trader, holding positions for hours to a few days, and uses a small set of tested setups, such as buying a pullback inside a strong trend or fading (trading against) a false breakout. Her rules are written down and often backtested (checked on past data), but she still uses judgment about market conditions and when to step aside.

• A handful of well-understood setups, traded repeatedly, can be more useful than a large toolbox.
• Pullbacks within a strong trend offer entries with a clear place to exit if wrong.
• Breakouts that quickly fail can trap other traders and create opportunities in the opposite direction.
• Testing a pattern on past data shows whether it has worked before trusting money to it.
• Matching activity to market conditions, including stepping aside in unclear markets, protects capital.

Best known for: Co-writing Street Smarts with Laurence Connors, a widely read book of short-term futures trading setups, and her interview in The New Market Wizards.

Schwartz started as a securities analyst and became a full-time trader of S&P 500 index futures and stocks with his own money. He moved away from company research toward technical analysis (reading price charts and indicators) and traded mainly in the direction his indicators confirmed. He prepared intensely each day, kept detailed records, and cut his position size sharply after losses, rebuilding only once he was trading well again. Keeping losses small mattered more to him than being right.

• Trading with the direction of the price trend, as shown by his indicators, worked better for him than relying on company research alone.
• Cutting position size after a loss limited damage during losing streaks.
• Separating ego from the trade made it easier to accept being wrong and exit.
• Daily preparation and detailed record keeping supported consistent decisions.

Best known for: His memoir Pit Bull and his Market Wizards interview describing his switch from securities analyst to technical trader.

Sperandeo traded stocks, options and futures professionally on Wall Street for decades and later founded Alpha Financial Technologies. He combined Dow Theory, an early method of reading market trends, with statistics on how long past bull and bear markets lasted, so he could judge how mature a trend was. He used a clear test for a trend change, known as his 1-2-3 rule, and put preserving capital ahead of making gains, adjusting position size as the odds changed.

• Preserving capital came first; making gains came second.
• Historical data on the length and size of past trends helped him judge the odds that a trend would continue.
• A defined rule for spotting a trend change, his 1-2-3 rule, turned a vague judgment into a checkable one.
• Understanding economics and policy gave context to what charts were showing.
• Betting more when the odds looked favorable and less when they did not shaped his position sizes.

Best known for: His book Trader Vic: Methods of a Wall Street Master and the 1-2-3 rule for identifying trend changes.

Marcus traded commodity and currency futures, mostly at Commodities Corporation, a Princeton firm that funded and trained independent traders. After costly early mistakes, including following tips and trading too often, he came to wait for trades where the fundamentals (supply and demand), the chart and the market's reaction to news all pointed the same way. He then took larger positions, cut losses quickly, and credited Ed Seykota with teaching him to follow trends.

• The best trades came when fundamentals, chart patterns and market reaction to news all lined up.
• Taking losses quickly kept early mistakes from wiping out his account again.
• How a market reacts to news can reveal more than the news itself.
• Following tips and overtrading caused his early losses.
• Learning from an experienced mentor, Ed Seykota, shaped his trend-following approach.

Best known for: The opening interview in Jack Schwager's Market Wizards, describing how he turned a small account into a large fortune at Commodities Corporation after early failures.

Markowitz treated a portfolio as a whole rather than a list of separate picks. His mean-variance method takes three inputs: expected returns, the volatility of each asset (how much it swings) and how assets move relative to each other. From these it finds the mix with the highest expected return for each level of risk; the set of best mixes is called the efficient frontier. At Daiwa Securities Trust and later GuidedChoice, he applied this optimization (a math method for finding the best mix) to real institutional and retirement money.

• The risk of a portfolio depends less on each holding's risk than on how the holdings move together.
• Combining assets that do not move in step can lower overall swings without giving up expected return.
• For each level of risk there is a best available mix, and the set of these mixes is the efficient frontier.
• Model results need statistical checks to make sure good past returns did not arise by chance.
• Emotions such as regret shape real portfolio choices, as he admitted about his own early pension split.

Best known for: Founding modern portfolio theory with his 1952 paper "Portfolio Selection", work that earned a share of the 1990 Nobel prize in economics.

Tharp, a psychologist by training, coached traders through his institute rather than managing outside money. He taught that how much you put into each trade, called position sizing, drives results as much as which trade you pick. He measured every trade in "R-multiples": the profit or loss divided by the amount risked at entry. From these he calculated expectancy, the average R a system earns per trade, and urged traders to build systems that fit their own beliefs and goals.

• Position sizing, how much to risk per trade, has a large effect on overall results.
• Measuring each trade as a multiple of the initial risk (R) makes systems comparable.
• Expectancy, the average gain per unit of risk, describes a system better than win rate.
• A trading system works best when it fits the trader's own beliefs and personality.
• Most trading problems trace back to the trader's psychology.

Best known for: Popularizing R-multiples, expectancy and position sizing in Trade Your Way to Financial Freedom.

Douglas traded futures and later coached traders through his firm, Trading Behavior Dynamics, including staff at trading firms. His focus was the trader's mind rather than any one method. He argued that each trade is a probability, not a certainty, and that losses are a normal cost of trading. A trader who accepts risk fully before entering can act on an edge consistently, without fear or hesitation, because no single outcome needs to be right.

• Each trade's outcome is uncertain; only a series of trades shows an edge.
• Accepting the risk before entering removes much of the fear that causes errors.
• Losses are a normal business expense of trading, not a personal failure.
• Consistency comes from a mindset that thinks in probabilities.
• A trader does not need to know what happens next to make money with an edge.

Best known for: Writing Trading in the Zone, a widely read book on trading psychology and thinking in probabilities.

Mauboussin is a researcher whose reports support the Counterpoint Global team at Morgan Stanley Investment Management. His method starts from base rates (how similar past cases turned out) before looking at a company's specifics. With Alfred Rappaport he developed expectations investing: working out what future cash flows today's share price already implies, then judging whether those expectations are too high or too low. He also studies how much results in a field come from skill and how much from luck.

• A share price reflects expectations about future cash flows, and returns come from changes in those expectations.
• Base rates from similar past cases are a sound starting point before case-specific details.
• Activities differ in how much results depend on skill or luck, and that mix shapes how outcomes should be judged.
• Common biases such as overconfidence can be reduced with deliberate decision routines.
• Where luck plays a large part, the quality of the decision process matters more than any single outcome.

Best known for: Developing expectations investing with Alfred Rappaport and his research on skill versus luck, set out in The Success Equation.

DeMark builds objective, rule-based indicators that count price bars to spot when a trend may be running out of buyers or sellers. His best-known tool, TD Sequential, first counts nine bars that each close beyond the close four bars earlier, then runs a separate count to thirteen, both read as signs of exhaustion. The tools look for turning points instead of following trends, and he applies them across many markets on daily, weekly and shorter charts.

• Trends tend to end when buying or selling pressure is exhausted, not when the news changes.
• Markets often top on good news and bottom on bad news.
• Chart reading can be turned into exact, repeatable rules instead of subjective judgment.
• The same counting rules can be applied across many markets and time frames.

Best known for: Creating the DeMARK Indicators, including TD Sequential, which institutional traders use to time possible market turns.

Burry, trained as a medical doctor, started as a self-taught value investor writing about stocks online, then founded Scion Capital. He reads company filings and loan documents in detail and buys what looks cheap. In 2005 he studied the loans behind subprime mortgage bonds, concluded many would default, and bought credit default swaps on them: contracts that pay out if the bonds fail, much like insurance. He held the position for years while it lost money on paper.

• Reading the underlying documents can reveal risks that ratings and headlines miss.
• Value investing means buying assets for less than careful analysis says they are worth.
• A contrarian position may lose money for a long time before it is proven right.
• Insurance-like contracts can express a view with a known cost and a large possible payoff.

Best known for: Buying credit default swaps on subprime mortgage bonds in 2005, as told in Michael Lewis's The Big Short.

Paulson founded Paulson & Co. and first specialized in merger arbitrage: buying shares of companies being acquired to capture the gap between the market price and the deal price. In 2006 his firm concluded that US home prices and subprime mortgage bonds were overvalued. It bought credit default swaps, contracts that pay out if bonds default, on a large scale. The cost of this protection was small compared with the possible payout if the housing market turned.

• A bet with a small, known cost and a large possible payoff is called asymmetric.
• Event-driven investing looks for profit from mergers, restructurings and other corporate events.
• Studying long-run price history can show when an asset is far above its normal range.
• Conviction in a well-researched view allowed a large position when the odds looked lopsided.

Best known for: The 2006–2007 subprime mortgage trade, described by Gregory Zuckerman as "the greatest trade ever."

Chanos founded Kynikos Associates to focus on short selling: borrowing shares and selling them, hoping to buy them back cheaper after the price falls. He looks for companies whose accounts may overstate profits, whose business model is weakening, or whose shares are priced for perfection. His work relies on close reading of financial statements and footnotes. Because a falling stock market is not the norm, he paired research depth with careful risk control on each short.

• Financial statements and footnotes can reveal problems before the share price does.
• A gap between reported profits and actual cash flow is a warning sign.
• Short sellers act as financial detectives, searching for overvalued or misleading companies.
• Short positions carry risk because rising prices have no upper limit, so sizing matters.

Best known for: Identifying problems at Enron and shorting its stock in 2000–2001, before the company collapsed.

Icahn is an activist investor: he buys large stakes in companies he thinks are undervalued or poorly run, then presses management and boards for change. Typical demands include board seats, share buybacks, sales of divisions, spin-offs or a sale of the whole company. He often buys when a company is out of favor and argues publicly for his plan. His investments run mainly through Icahn Enterprises, a publicly traded holding company.

• A large shareholder can push a company to unlock value it already has.
• Out-of-favor companies can trade below the value of their parts.
• Public pressure and proxy contests (shareholder votes on board seats) give investors a voice.
• Patience to hold a stake through a long campaign is part of the method.

Best known for: Decades of activist campaigns, including pressing eBay to spin off PayPal and taking a large stake in Apple in 2013 to push for buybacks.

Taleb traded options for banks and then founded Empirica Capital. An option is a contract giving the right to buy or sell at a set price. He focused on tail risk: rare, extreme moves that standard models treat as nearly impossible. His approach was to accept many small losses from buying cheap, far-out options in exchange for large gains when an extreme move happens. He later advised Universa Investments, founded by Mark Spitznagel, which follows a related tail-hedging approach.

• Rare, extreme events matter more to long-run results than standard models suggest.
• Many small, known losses can be acceptable if they pay for large gains in a crisis.
• Avoiding ruin comes before maximizing returns.
• Randomness and luck are often mistaken for skill.
• Some things gain from disorder and stress; he calls them antifragile.

Best known for: The idea of the "black swan," a rare, high-impact event that is explained only after the fact, from his 2007 book.

Faber worked in Hong Kong for banks and brokers, then founded Marc Faber Limited, an investment advisory firm. He invests with a contrarian, long-term view: buying assets and regions that are out of favor and cheap, and avoiding those he sees as bubbles. He pays close attention to economic history, credit growth and central bank policy. He has long favored holding some gold and other real assets as protection against currency debasement, the loss of a currency's buying power.

• Assets that everyone avoids can become cheap enough to offer value.
• Economic history helps recognize booms and busts as they form.
• Fast credit growth and easy money policy can inflate asset bubbles.
• Gold and real assets can act as protection against currency debasement.

Best known for: His long-running newsletter The Gloom, Boom & Doom Report and a contrarian, history-based view of markets.

Ackman holds a small number of large positions in what Pershing Square describes as high-quality, predictable, cash-generating businesses. As an activist investor, he buys a sizable stake and then works with, or presses, management and boards to change strategy, costs or structure. Positions are often held for years. At times he buys hedges (positions that gain when the rest of the portfolio falls), as with credit protection in early 2020, so the core holdings do not have to be sold.

• A few deeply researched holdings can matter more than a wide spread of small ones.
• Owners with a large stake can push companies to improve how they are run.
• Cheap protection against a market shock can shield a long-term portfolio without selling it.
• Capital that cannot be withdrawn lets an investor buy during a crash instead of meeting redemptions.

Best known for: Activist campaigns at large companies and a 2020 credit hedge that turned about $27 million into $2.6 billion.