William O’Neil: Investor’s Business Daily, CAN SLIM, and the 1962 Trade That Built a Data Empire

In the late spring of 1962, in a Hayden Stone and Company branch office in Los Angeles, a twenty-nine-year-old stockbroker named William Joseph O’Neil walked into his branch manager’s office and announced that he was going to short sell every stock in his client book. The general market had peaked in mid-March. The trend lines on the New York Stock Exchange composite were rolling over. The interest-rate environment was tightening. O’Neil had spent the previous four years, on his own time, building what was probably the first systematic computer-assisted stock-market study ever undertaken by a Wall Street broker, working from quarterly earnings reports and weekly price-and-volume data going back to the eighteen eighties. The historical record, in his reading, was unambiguous. The market was about to crash. He sold every long position in his clients’ accounts. He started building short positions in the leading bull-market names.

One of the names he was selling short was Certain-Teed Products, a Pennsylvania-based building-materials manufacturer. The stock had been one of the strongest performers of the previous year. Hayden Stone’s research department, operating out of the firm’s Wall Street headquarters, had recently issued a buy recommendation on it. O’Neil was telling his California clients to short the same stock at the same time. He was, in effect, taking the opposite position to the firm’s published research. The branch manager called New York. New York was not pleased. O’Neil was instructed, in unambiguous terms, that California brokers did not contradict Manhattan’s research recommendations. He kept shorting Certain-Teed anyway.

The general market peaked at the end of March 1962 and began a decline that would, by late June, take the Dow Jones Industrial Average down approximately twenty-eight percent in three months. The Kennedy slide, as it would later be called, was the worst sustained equity drawdown since 1940. Certain-Teed Products fell from approximately fifty dollars per share to under twenty over the same period. The shorts O’Neil had built up at the suggestion of his own analytical work, against the explicit recommendation of his firm’s published research, generated returns that compounded into a personal account that started the year at five thousand dollars and ended it, after pyramiding the profits into a series of follow-on long positions taken at the autumn 1962 bottom, at over two hundred thousand. He had compounded his personal capital forty times in approximately twelve months.

The next year, 1963, he used the proceeds to buy a seat on the New York Stock Exchange. He was thirty years old. He was, at that moment, the youngest member of the New York Stock Exchange in its history. Within months he had founded William O’Neil and Company, an institutional research firm operating out of Los Angeles, in deliberate distance from the Wall Street establishment that had told him to stop shorting Certain-Teed. The firm developed, over the following decades, what was probably the first comprehensive computerised securities database in the asset-management industry. Within twenty years it would be tracking over seventy thousand companies worldwide and selling research to several hundred major institutional clients. By the time of O’Neil’s death in May twenty twenty-three at the age of ninety, he had been one of the most influential people in modern American retail finance for sixty years.

This is also the man who, in 1984, founded a national business newspaper called Investor’s Daily, later renamed Investor’s Business Daily, in deliberate competition with The Wall Street Journal. The paper was loaded with the kind of stock-by-stock data, charts, and analytical ratings that The Wall Street Journal‘s editorial tradition treated as the proprietary work of professional analysts. O’Neil’s view was that the data should be available to everyone. He published it in newsprint and, beginning in 1998, online. The paper survived as a daily publication for over thirty years before becoming a weekly print edition in twenty sixteen. In twenty twenty-one News Corp acquired it for two hundred and seventy-five million dollars.

This is also the man who, in 1988, published a book called How to Make Money in Stocks, in which he distilled his entire methodology, refined over the previous thirty years of empirical study, into a seven-letter acronym he called CAN SLIM. The book has, over the four decades since its publication, sold more than two million copies. It is one of the foundational texts of modern American retail equity investing. The CAN SLIM strategy was named the top-performing investment methodology of the 1998 to two thousand and nine period by the American Association of Individual Investors. Whether retail investors who read the book actually follow the methodology with the discipline it requires is, as with the Greenblatt Magic Formula discussed in the previous episode, a different question.

The episode you are about to hear is the story of how a Depression-born Oklahoma kid, raised by a single mother working a JC Penneys clerk job in Muskogee, ended up the founder of one of the most influential financial-data empires of the twentieth century. It is also a story about what it takes to build a methodology that combines fundamentals and chart reading into a single coherent system, and about why the resulting framework continues to work for traders four decades after it was first published, despite the persistent academic claim that no such methodology can work at all.

Oklahoma, Muskogee, and the Texas Trajectory

William Joseph O’Neil was born on the twenty-fifth of March, 1933, in Oklahoma City, at the deepest point of the Great Depression. His parents divorced the next year, and his mother took him to Muskogee, in eastern Oklahoma, where she took a job as a clerk at a JC Penneys department store to support him and his siblings. The family was poor. The Depression years and the early war years were, in his later telling, formative in a way that was not romantic. He grew up in a household where the absence of money was an ordinary daily fact, where the willingness to work multiple jobs simultaneously was the default mode of family economics, and where the prospect of paying for college was, in any straightforward sense, beyond the family’s reach.

The family moved to Dallas when O’Neil was fourteen. He attended Woodrow Wilson High School in East Dallas, where he was an academically committed student in the way that the children of single working mothers in the American 1940s often were: not because anyone demanded it of him, but because he had grasped early that academic performance was the only available route out of a life that had not, structurally, given him any other route. He graduated from Wilson in 1951. He enrolled at Southern Methodist University, the Dallas private university, on a combination of scholarships and his own earnings from various part-time jobs.

At SMU he studied business administration. He completed his Bachelor of Science in 1955, married Fey Seifert in 1952, and entered the United States Air Force after graduation. The military service, which lasted approximately three years, gave him discipline, structure, and a small but meaningful income that he used, even as a junior officer, to begin paper-trading the stock market. He has said in subsequent interviews that the late-nineteen-fifties Air Force years were when he first started reading systematically about the markets, working through Gerald Loeb’s The Battle for Investment Survival, Edwin Lefèvre’s Reminiscences of a Stock Operator, and the writings of Bernard Baruch, Jesse Livermore, Jack Dreyfus, and Nicolas Darvas.

Loeb’s book, in particular, became the central early influence on his investing mind. O’Neil would later describe The Battle for Investment Survival as the best book on the markets ever written. Loeb’s approach combined rigorous fundamental analysis of company quality with disciplined attention to price and volume action and a willingness to cut losses quickly. The combination, fundamentals plus chart reading plus loss-cutting discipline, would later become the architecture of O’Neil’s own CAN SLIM methodology. Whatever came afterward, the structural inheritance from Loeb to O’Neil is direct and well-documented.

Hayden Stone, the 1962 Crash, and the Founding of William O’Neil and Company

O’Neil left the Air Force in 1958 and took a position as a stockbroker in the Los Angeles office of Hayden Stone and Company, then one of the larger brokerages in the country. The job paid a small base plus commissions on client trades. O’Neil, who had recently completed three years of military service and was newly married with young children, brought to the work the kind of analytical seriousness that most rookie brokers in the late fifties did not. He set himself, almost immediately, the goal of doing what no broker in his branch had previously done: building a systematic empirical study of what made successful stocks successful.

The study was, in retrospect, remarkable for its time. O’Neil obtained, partly through Hayden Stone’s research department and partly through his own efforts, decades of historical data on every significant stock-market winner he could find: the great bull-market leaders of the 1920s, the recovery winners of the 1940s, the post-war growth stocks of the 1950s. He looked at their fundamental characteristics in the quarters before they began their major price advances. He looked at their chart patterns. He looked at the volume signatures. He looked at the macroeconomic context. By the early 1960s, working with the kind of primitive computing equipment that was then available to a Los Angeles brokerage office, he had assembled what was probably the first systematic empirical model of the characteristics of winning stocks.

The model gave him, in 1962, a clear early read on the looming top in the bull market that had run since the 1949 bottom. He sold long positions. He started shorting weak names. The Certain-Teed short was one of several. When the Kennedy slide arrived in late spring and summer 1962, O’Neil’s positioning was approximately optimal. He was short the right names at the top. He covered into the autumn bottom. He bought the right new leaders into the recovery. The compounding through 1962 and into 1963 turned five thousand dollars of personal capital into roughly two hundred thousand. The trades came primarily from three winners: Korvette, Chrysler, and Syntex.

In 1963, with the proceeds, O’Neil bought a seat on the New York Stock Exchange. The seat purchase made him, at thirty, the youngest member in the exchange’s history at that point. He used the seat to launch William O’Neil and Company, an institutional research firm focused on the kind of empirical, database-driven equity research that his Hayden Stone work had pioneered. The firm was based in Los Angeles, deliberately, in part because O’Neil preferred the West Coast and in part because he had concluded, after his Hayden Stone experience, that the East Coast establishment was structurally biased against the kind of empirical-quantitative work he wanted to do. He would, over the following sixty years, refuse multiple offers to relocate the firm to New York.

The firm developed, over the following two decades, what was probably the first comprehensive computerised securities database in the American asset-management industry. The database tracked, in time, over seventy thousand companies worldwide, with daily updates of fundamentals, price action, volume, institutional ownership changes, and proprietary ratings. The firm’s institutional clients, who paid substantial annual fees for access to the data, eventually included most of the large mutual-fund and pension-fund organisations in North America. The William O’Neil database, by the 1980s, was the de facto standard quantitative research platform for active growth-equity managers in the United States.

Daily Graphs and the Chart-Reading Tradition

In 1972, after nine years of running William O’Neil and Company as an institutional-only research firm, O’Neil launched a retail-facing product called Daily Graphs. The product was a weekly printed book containing detailed price-and-volume charts of every significant publicly traded American stock. The charts were generated from O’Neil’s institutional database and laid out in a standardised format that emphasised the technical patterns O’Neil had identified as predictive of subsequent price action. The book was mailed weekly to retail subscribers who paid an annual fee. It became, over the following decade, the standard chart resource for serious American retail growth-equity investors.

The choice to launch Daily Graphs was deliberate. O’Neil had concluded, by the early 1970s, that the chart-reading tradition that ran from Edwin Lefèvre’s Reminiscences through Richard Wyckoff’s volume-and-price studies through Nicolas Darvas’s box theory was one of the most underappreciated traditions in American market analysis. Academic finance, by the 1970s, was firmly committed to the efficient-market hypothesis, which held that historical price patterns had no predictive value. O’Neil’s empirical work, by contrast, had demonstrated to his own satisfaction that certain specific chart patterns, particularly the pattern he called the cup-with-handle, occurred with statistical reliability before major price advances in winning stocks. He named the pattern, defined its parameters precisely, and built Daily Graphs around the proposition that retail investors could be taught to recognise it.

The cup-with-handle pattern, which became one of the central technical features of CAN SLIM, has a specific structure. The stock first declines from a recent high in a smooth, U-shaped pattern that takes at least seven weeks to develop. After the bottom, the stock recovers most or all of the decline, approaching the previous high. As it nears the previous high, it pauses in a brief consolidation that O’Neil called the handle, which typically lasts one to four weeks. The breakout above the handle, on heavy volume, is the buy point. The pattern, in O’Neil’s research, occurred reliably in winning stocks before their major price advances, and the breakout itself provided a precise entry-and-stop framework: enter at the breakout price, exit immediately if the stock declines more than seven to eight percent below the buy point.

The seven-to-eight-percent stop-loss rule deserves particular attention. It is, in some ways, the most important single rule in the entire CAN SLIM methodology. O’Neil’s empirical work had demonstrated that genuine winners almost never declined more than seven to eight percent below their breakout buy points before continuing to advance. The seven-percent line, therefore, served as a clean filter between real breakouts and false signals. A stock that broke out and then declined more than seven percent was almost always a failed breakout, and the disciplined trader who exited immediately preserved capital for the next opportunity. A stock that held above the seven-percent line was much more likely to be a real winner, and the trader who held the position captured the subsequent advance. The rule was uncompromising. O’Neil insisted, in his books and in his Investor’s Business Daily editorials over four decades, that there were no exceptions. He has said, repeatedly, that traders who failed at CAN SLIM almost always failed because they refused to take the seven-percent stop.

Investor’s Business Daily and the Populist Mission

In 1984, having built William O’Neil and Company into a substantial institutional research operation and Daily Graphs into a meaningful retail-chart business, O’Neil launched a daily national business newspaper called Investor’s Daily. The paper was, in its conception, a deliberate competitor to The Wall Street Journal. The mission was to give retail investors access to the same kind of stock-by-stock data, charts, and analytical ratings that institutional investors had been getting from O’Neil’s research firm for two decades. The paper was loaded with the kind of dense, data-rich tabular content that the editorial conventions of mainstream business journalism had always treated as the proprietary work product of professional analysts.

The launch was, by any reasonable financial measure, audacious. The Wall Street Journal, in 1984, was one of the largest and most profitable business newspapers in the world. The idea that a Los Angeles firm could compete with it, particularly with a more data-intensive product targeted at retail rather than institutional readers, was widely dismissed in the industry. O’Neil funded the launch with the personal proceeds of his trading and his firm. He took, by his own account, several years of significant losses on the paper before circulation reached the levels needed for sustainability. By the late 1980s, the paper was approaching break-even. The name was changed to Investor’s Business Daily in 1991. By the early two thousands, IBD had a circulation of approximately three hundred thousand, with a particularly engaged subscriber base of serious retail growth-equity investors. The website, launched in two thousand and three, attracted millions of visitors per month at its peak.

The mission of the paper was explicitly populist. O’Neil’s view, repeated in editorial after editorial, was that the asymmetric information advantage that institutional investors had historically enjoyed over retail investors was structurally unjust, and that the technology of mass-market data publishing made it possible, for the first time in American financial history, to close the gap. The paper’s stock tables included proprietary ratings on earnings strength, price strength, accumulation/distribution activity, and CAN SLIM eligibility that no other newspaper published. The paper’s editorial pages championed entrepreneurship, free markets, and the right of ordinary Americans to access the same investment information that Wall Street insiders enjoyed. The paper’s IBD 50 list, a weekly ranking of the top fifty CAN SLIM-eligible stocks by O’Neil’s proprietary metrics, became one of the most followed retail-investor watchlists in the country.

The paper’s commercial life eventually wound down with the decline of print journalism. In twenty sixteen, IBD reduced its print frequency from daily to weekly. In twenty twenty-one, News Corp acquired the company for approximately two hundred and seventy-five million dollars, integrating it with its existing financial-publication portfolio. O’Neil, who had stepped back from active editorial involvement years earlier, retained ownership of William O’Neil and Company through his death in May twenty twenty-three.

“Charts plus earnings will help you tell the best stocks and general markets from the weaker, riskier stocks and markets that you must avoid altogether.”
— William O’Neil, How to Make Money in Stocks

How to Make Money in Stocks and the CAN SLIM Acronym

In 1988, O’Neil published the first edition of How to Make Money in Stocks. The book, which has been continuously updated through subsequent editions over the following thirty-five years, is the canonical statement of the CAN SLIM methodology. The seven letters of the acronym stand for seven specific empirical filters that O’Neil’s historical research had identified as common to the best-performing stocks of the previous century, applied in the quarters before their major price advances.

The C is current quarterly earnings. O’Neil’s research had found that the best stocks showed earnings-per-share growth of at least twenty-five percent in the most recent quarter, year-over-year, before their major advances. Many of them showed significantly higher numbers. Stocks with flat or declining current earnings were structurally less likely to produce the kind of multi-bagger returns CAN SLIM was designed to capture.

The A is annual earnings growth. The same earnings discipline applied at the longer time horizon. The best winners showed annualised earnings growth of at least twenty-five percent over the preceding three years.

The N is new. New products, new management, new market highs. O’Neil’s research had found that the strongest advances came from companies that were doing something genuinely new in their industry, often combined with a stock price that was breaking out to a new high after a multi-year consolidation. The breakout to a new high, in O’Neil’s framework, was a positive signal rather than a warning.

The S is supply and demand. The total share count of the company. O’Neil’s research, somewhat counterintuitively, suggested that smaller-float companies generally outperformed larger-float companies in the early stages of a major advance. Companies with fewer than twenty-five million shares outstanding were structurally more likely to deliver the kind of large percentage gains that CAN SLIM was designed to capture.

The L is leader or laggard. Was the stock the leading name in a leading industry, or was it a follower in a lagging industry? O’Neil’s research had found a strong relationship between relative-strength rankings and subsequent performance. The trader who consistently bought the strongest stocks in the strongest industries did better than the trader who tried to bottom-fish in weak sectors.

The I is institutional sponsorship. Were the major mutual funds, pension funds, and bank trust departments accumulating the stock in their recent quarters? O’Neil’s research had found that the best winners almost always had a base of substantial institutional ownership before their major advances. The retail trader who bought a stock that no institution wanted was, statistically, on the wrong side of the trade.

The M is market direction. Three out of four stocks moved in the direction of the broader market. The trader who bought CAN SLIM-eligible names during a confirmed bear market did, on average, considerably worse than the trader who waited for a confirmed uptrend before deploying capital. The market-timing component of the methodology was structurally important and was the single largest source of the variance in real-world CAN SLIM results.

The seven filters together, applied with discipline and combined with the seven-percent loss-cutting rule and the cup-with-handle entry framework, defined the CAN SLIM methodology. The system was named the top-performing strategy in the American Association of Individual Investors’ multi-decade survey for the period 1998 to two thousand and nine. The book has, across its multiple editions, sold over two million copies. Whether the average retail investor who reads the book actually applies it with discipline is, as with the Greenblatt Magic Formula discussed in the previous episode, the central practical question.

What We Cannot Know

O’Neil’s record contains the same kinds of ambiguities the previous episodes’ subjects’ records contain.

The first concerns the actual returns. The forty-percent annualised personal-trading return that has been widely reported in the financial press is poorly documented. O’Neil never published audited investor-performance figures of the kind that hedge funds publish under regulatory disclosure requirements, in part because he never managed outside capital in a hedge-fund structure. The two-hundred-thousand-dollar peak from the 1962 to 1963 trades is well-documented. The subsequent multi-decade record is reported by O’Neil himself but cannot be independently verified. The honest framing is that O’Neil was, by every available indication, a successful trader of his own capital over a sixty-year career, but the precise annualised return figure is more reputational than audited.

The second concerns the post-publication performance of CAN SLIM. The American Association of Individual Investors named CAN SLIM the top-performing strategy of the 1998 to two thousand and nine period. Subsequent backtests over the post-two-thousand-and-nine period have shown more modest results, with CAN SLIM-style screens returning approximately twelve to fifteen percent annualised against an S&P five hundred return of approximately thirteen to fifteen percent over the same period. The strategy continued to work, broadly, but the dramatic outperformance of the 1990s and early two thousands narrowed considerably in the post-financial-crisis era. Some of this reflects the broader market environment, in which growth equities dominated and most active strategies underperformed simple index investing. Some of it reflects the success of CAN SLIM’s own popularisation, which arguably arbitraged away some of the structural mispricings the methodology had originally identified.

The third concerns the chart-reading tradition itself. Academic finance, throughout O’Neil’s career, was largely dismissive of the technical-analysis tradition he championed. Multiple peer-reviewed studies have found that the cup-with-handle pattern, when tested mechanically on historical data without the discretionary overlays O’Neil himself applied, does not produce statistically significant excess returns. The honest reading is that CAN SLIM as O’Neil practised it, with discretionary judgment about industry leadership, market context, and pattern quality, may have worked better than the mechanical version. This is true of most discretionary trading systems, and it raises the standard concern about whether the methodology is teachable in the form in which the books present it. Greenblatt addressed this concern by reducing his methodology to a two-variable mechanical formula. O’Neil never did, and the practical consequence is that real-world CAN SLIM results vary widely depending on the practitioner’s discretionary skill.

The fourth concerns the populist mission. O’Neil’s stated objective, throughout his career, was to democratise access to professional-grade investment data and analytical tools. Investor’s Business Daily, the proprietary ratings system, the IBD 50 list, the educational content, all of it was structured around the proposition that ordinary retail investors, given the right tools, could compete with Wall Street professionals. The proposition is partly correct and partly contested. The retail investors who actually subscribed to IBD and applied CAN SLIM with discipline did, on average, do better than passive index investors over multi-decade periods. The retail investors who subscribed to IBD and used it for tip-following without the discipline of the methodology generally did worse. The aggregate dollar-weighted impact on retail wealth, like the Magic Formula and the ARK Invest cases discussed in the previous episodes, is probably more modest than the headline numbers suggest. The discipline, as in every previous episode of this season, is the binding constraint.

What O’Neil Teaches: Four Lessons in Order of Depth

1. The most important lesson is empirical: the characteristics of winning stocks are knowable, and the patient analyst who studies the historical record will identify them. O’Neil’s defining intellectual move was to refuse the academic-finance claim that historical price patterns had no predictive value, and to do the empirical work himself to find out. The work was tedious. It required reading thousands of historical filings, charting thousands of historical stock movements, and looking for the specific pre-advance characteristics that the winners shared. The conclusion, after thirty years of study, was that the characteristics did exist, that they were stable across decades, and that any trader willing to do the same empirical work could identify them. The retail trader’s analogue is straightforward: the characteristics of winning trades in your own preferred instrument and timeframe are knowable through the same kind of patient empirical study. If you trade gold futures, the patterns that precede major moves in gold are findable. If you trade equity index options, the volatility-surface signatures that precede major realised-volatility expansions are findable. The work is not glamorous. It is not academic. It requires reading thousands of historical examples and tabulating what they have in common. The trader who is willing to do the work has access to a category of edge that is structurally unavailable to the trader who refuses.

2. The deeper lesson is methodological: a trading system requires both fundamental quality and technical timing, and the combination is much more powerful than either component alone. CAN SLIM’s defining innovation was the integration of fundamental analysis (the C, A, S, and I components) with technical analysis (the N, L, and M components). The pure fundamental investor, in O’Neil’s framework, missed the timing of when to actually deploy capital. The pure technical trader missed the underlying business quality that made the position sustainable. The combination, fundamentals to identify what to buy plus technicals to identify when to buy, was strictly superior to either component in isolation. The retail trader’s version of this lesson is exact. Whatever your preferred analytical framework, the integration of the framework with a disciplined timing overlay almost certainly improves real-world results. The fundamental analyst who waits for technical confirmation before entering a position generally outperforms the fundamental analyst who simply buys at the price at which they identified the value. The technical trader who limits their universe to fundamentally sound names generally outperforms the technical trader who chases price action in everything that moves.

3. The deeper lesson still is structural: cutting losses fast is the single highest-leverage discipline a trader can develop. The seven-to-eight-percent stop-loss rule is, by O’Neil’s own repeated insistence, the most important single rule in the entire CAN SLIM methodology. The mathematics of why this is so are straightforward. A trader who limits losses to seven percent on losing trades and rides winners to twenty or thirty percent gains has a positive expected value even if their hit rate is below fifty percent. A trader who lets losses run to twenty or thirty percent and takes profits at seven percent has a negative expected value even if their hit rate is well above fifty percent. The arithmetic is unforgiving. Most retail traders fail not because their entries are bad but because their loss-cutting discipline is bad. They turn small losses into large losses by hoping for recovery. They turn winning positions into losing positions by holding past the point of reversal. O’Neil’s seven-percent rule, applied without exception, addresses the entire category of failure. The retail trader who internalises this single rule has solved the largest single source of negative expectancy in their own performance.

4. The deepest lesson is structural in a different way: the populist mission of democratising professional-grade investment tools is real, but the discipline required to use those tools well is not democratically distributed. O’Neil spent sixty years giving retail investors access to the same data, charts, ratings, and analytical methodology that institutional investors had historically guarded as proprietary. The intent was admirable and the execution was substantial. The outcome, however, has been mixed. The retail investors who actually applied the discipline of CAN SLIM, including the seven-percent stop, the market-direction filter, and the patience to wait for confirmed uptrends, generally did well. The retail investors who used IBD and the CAN SLIM language as an aesthetic overlay on undisciplined speculation generally did poorly. The lesson for the retail trader operating with their own capital today is that access to professional-grade tools is necessary but not sufficient. The tools work for the trader who has the discipline to apply them. The tools do not work for the trader who does not. The honest assessment of one’s own discipline, before deploying tools that were designed for serious application, is itself a precondition for the tools producing the results they are capable of producing. Most traders skip the honest assessment. The minority who do not are the ones who actually capture the returns the methodology was designed to deliver.

Frequently Asked Questions

What is CAN SLIM?

CAN SLIM is the seven-criterion stock-selection methodology William O’Neil developed through decades of empirical study of winning stocks and published in his 1988 book How to Make Money in Stocks. The acronym stands for: Current quarterly earnings (up at least 25%), Annual earnings growth (up at least 25% over three years), New products/management/highs, Supply (smaller share counts preferred), Leader or laggard (buy leaders), Institutional sponsorship (recent fund accumulation), and Market direction (deploy in confirmed uptrends only). The methodology was named the top-performing investment strategy of the 1998-2009 period by the American Association of Individual Investors.

What was the cup-with-handle pattern?

The cup-with-handle is the specific chart pattern O’Neil identified as predictive of major price advances in winning stocks. The stock first declines from a recent high in a smooth U-shaped pattern lasting at least seven weeks, then recovers most or all of the decline, then pauses briefly in a one-to-four-week consolidation called the handle, then breaks out above the handle on heavy volume. The breakout is the buy point. The seven-to-eight-percent decline below the buy point is the stop-loss point.

How did O’Neil make his original capital?

Working as a stockbroker at Hayden Stone in Los Angeles from 1958 to 1963, O’Neil developed an empirical model of winning stock characteristics. The model gave him an early read on the 1962 market top, which he traded successfully through short positions in former bull-market leaders (including Certain-Teed Products, against his own firm’s published research) and subsequent long positions in the post-crash recovery. Three trades in particular — Korvette, Chrysler, and Syntex — pyramided his $5,000 personal account into approximately $200,000 over 1962-1963. He used the proceeds to buy a NYSE seat and found William O’Neil and Company.

What was Investor’s Business Daily?

Investor’s Business Daily, originally launched as Investor’s Daily in 1984 and renamed in 1991, was the daily national business newspaper O’Neil founded in deliberate competition with The Wall Street Journal. The paper was distinguished by its dense stock-by-stock data tables, proprietary ratings (Earnings Per Share rating, Relative Strength rating, Accumulation/Distribution rating), and the IBD 50 weekly list of top CAN SLIM-eligible stocks. Circulation peaked above 300,000 and the website attracted millions of monthly visitors. News Corp acquired the company in 2021 for approximately $275 million.

What was the seven-percent rule?

O’Neil’s most important single trading rule: any position that declines more than seven to eight percent below its breakout buy point must be exited immediately, with no exceptions. The rule reflects O’Neil’s empirical finding that genuine winners almost never decline more than seven percent below their breakout buy points before continuing to advance. The seven-percent line therefore serves as a clean filter between real breakouts and false signals, and the disciplined application of the rule is, by O’Neil’s repeated insistence, the single most important determinant of long-term CAN SLIM results.

What was William O’Neil and Company?

The institutional research firm O’Neil founded in 1963 in Los Angeles, immediately after his 1962-63 trading success. The firm developed what was probably the first comprehensive computerised securities database in the American asset-management industry, eventually tracking over 70,000 companies worldwide. Several hundred major institutional clients, including most of the large mutual-fund and pension-fund organisations in North America, paid substantial annual fees for access to the data. The firm continues to operate as O’Neil Global Advisors and O’Neil Securities.

What was the influence of Gerald Loeb on O’Neil?

Direct and substantial. O’Neil has said in multiple interviews that Gerald Loeb’s The Battle for Investment Survival was the most important book on the markets he ever read. Loeb’s approach combined fundamental analysis of company quality with disciplined attention to price and volume action and a strict willingness to cut losses quickly. The combination of fundamentals plus technicals plus loss-cutting discipline became the architecture of O’Neil’s own CAN SLIM methodology. Loeb is one of the most directly traceable intellectual influences in the entire history of American growth-equity investing.

Was O’Neil featured in Market Wizards?

Yes. Jack Schwager included O’Neil in his 1988 book Market Wizards: Interviews with Top Traders, the foundational text of the trader-interview genre. The interview, which covered O’Neil’s methodology, his trading discipline, and his views on chart reading, helped to establish CAN SLIM in the broader trading community beyond the IBD subscriber base. The Schwager interview remains, decades later, one of the most accessible introductions to O’Neil’s thinking for serious traders.