Learning & Development

He credits two mentors — an early Pittsburgh boss who taught him craft, and Soros, who taught him the single most important lesson of his career: position sizing. When he joined Soros, he expected to learn about macro. Instead, he learned that being right or wrong matters far less than how much you make when right and how little you lose when wrong. That asymmetry compounds differently than anything else.

"It's not whether you're right or wrong, it's how much you make when you're right and how much you lose when you're wrong."

Technical analysis was roughly 5× more effective 30–40 years ago simply because so few people used it. Now that everyone does, the edge is gone. Same with the "bad earnings, stock holds up" signal — once widely taught, it stopped working. He calls both strategies "loved to death". He hasn't abandoned them but no longer relies on them the way he once did. The lesson: an edge exists only as long as it remains non-consensus.

When you win, the lesson you absorb is that you're a genius. When you lose, you actually sit down and dissect what went wrong — what you missed about the business, what you failed to see in the valuation, what warning you ignored. That reflection is where pattern recognition gets built. Over decades, that pattern recognition becomes the ability to recognize a situation you've seen before, even when it wears a different costume. The danger is that some investors get burned and can't re-enter even when risk has materially dropped.

"When you have success, what it teaches you is you're a genius. It's when something goes wrong that you sit down and say, 'Why did that happen?'"

Buffett tells the story of the Lehman weekend in September 2008. Barclays wanted to buy Lehman but needed shareholder approval — at least 30 days. CEO Bob Diamond called Buffett in Edmonton asking him to guarantee Lehman's contracts during that window, so Buffett said "fax me the terms and I'll respond by midnight." He came back to no fax — the hotel didn't have one. He gave up and slept. Ten months later he discovered the voicemail had been sitting unheard on his phone the whole time. It illustrates how chaotic and contingent the 2008 crisis actually was — a missed fax may have changed history.

"So if you really want to know the story of why Lehman failed — next time, send smoke signals to me if you have anything important to say."

Jenny Johnson asks when to give up on an investment. Buffett's signal: good management producing bad results — that tells you it's the business, not the people. He describes buying Dexter Shoe in the early 1990s for $400M in Berkshire stock, watching it fail immediately from foreign competition, and seeing it go to zero. Worse: that stock is now worth ~$5 billion. But a follow-up question reveals his attitude toward stocks going down in general — he gets euphoric. The stock doesn't know you own it, doesn't care what you paid. Stocks going down means you can buy more of a business you understand for less money — exactly like getting a grocery item cheaper than yesterday.

"I get euphoric when stocks go down. The stock doesn't even know that you own it. You are nothing to the stock. The only question every day is: can I get more for my money somewhere else?"

Host Richard Moglen introduces Mark Minervini — author of Trade Like a Stock Market Wizard and Think and Trade Like a Champion, former US Investing Champion, currently leading the money manager division with a 277% return. Mark adds that his book Mindset Secrets for Winning is equally important. Richard asks why Mark rejoined the championship after 24 years. Mark explains: he wanted to show that his techniques are timeless. Everyone warned him not to do it — if you don't win, you'll look bad — but Mark trusted his process and knew he would at minimum deliver a respectable performance.

Closing the interview, Richard asks what advice Mark has for traders aspiring to match his returns. Mark's answer: temper your expectations. Nobody opens a brokerage account and expects to be great in months — but they would never expect to become a trial attorney, a surgeon, or even a McDonald's assistant manager in that time. Trading is harder than those professions. The key is finding a strategy with a proven edge that fits your personality and that you can believe in 100%. Zig Ziglar said the best sale a salesman can make is to sell himself first — you have to believe in what you are doing completely, then do the work and become a specialist.

Mark draws the sports analogy: the great champions do one thing exceptionally well. You do not play hockey, basketball, and football at an elite level — you specialize as a center, a guard, or a quarterback. Trading is the same. Make a 10-year plan, not a 10-month one. If you are 30 or 40 years old and can get this down in 5-10 years, it changes your life. Mark mentions his upcoming Master Trader Program — a 7-day, 30+ hour curriculum with a live trading day — available at minervini.com. Richard recommends reading Mark's books multiple times before attending. Mark thanks the audience and Richard closes with a call to like and subscribe.

Host Richard Moglen introduces Lance Breitstein — former Trillium top trader and SMB Capital advisor — for his first TraderLion presentation. Lance jokes about the witty "Trend That Love Story" title, delivers the obligatory prop-trading compliance disclaimers with humor, and sets the agenda: why every trader needs to live, breathe, and trade with the trend.

Despite having one of the best trainers on the street and an environment built for success, Lance was one of the slower learners in his trading class. Even as he improved and approached the top 10 at his firm, every year he would burn millions of dollars in big losses — a pattern nobody else at the firm had. He was interviewing for other jobs and losing faith in himself.

Lance reviewed his entire career and one pattern became abundantly clear: his best trades immediately went in his favor, and his absolute worst trades were all fights against the trend. This heuristic — that trades working in your favor tend to be with the trend and trades going against you tend to be against it — became the foundation of his transformation. The beauty is that trading with the trend naturally minimizes drawdowns and opens you to asymmetric upside, even on mean reversion setups.

Lance challenges the audience: have you actually taken time to define what a trend is? He builds from simple definitions — an upward-sloping price — to the more specific pattern of higher highs and higher lows. Using Micron and Nvidia charts, he demonstrates the stair-stepping structure (leg higher, shallow pullback, leg higher) that consistently precedes major earnings breakouts.

Lance describes the daily report card he filled out every single day without exception during his Trillium years — a habit he credits as one of the simplest and highest-impact things any trader can implement immediately. The template grades rule-following, risk amounts, and process adherence. The act of writing down whether you followed your rules every day creates accountability that internal monologue cannot — if you have to write down that you broke a rule, you are far less likely to break it again tomorrow.

Lance maintains a database of standout tickers going back years — 2021 top ops, 2020 top ops, 2019 top ops, all in Evernote. Even for trades he did not take, he documents the setup to build pattern recognition for the next occurrence. He argues that the database is more valuable than post-trade journaling alone because it captures opportunity recognition, not just execution. Reviewing what you saw but did not act on is often more instructive than reviewing what you actually traded.

Host Richard Moglen introduces David Ryan — three-time US Investing Champion, featured in Jack Schwager's Market Wizards, and protégé of William O'Neil. The introduction frames Ryan as one of the most experienced practitioners of the CAN SLIM methodology, someone who learned directly from O'Neil inside the firm that created the system.

David Ryan's introduction to markets started at the family dinner table, where his father would announce new stock purchases — KFC, Disney, early cable television — and bring home the evening newspaper with stock quotes. As a teenager David found a stock trading at $1 and asked if he could buy a share from his allowance; his father redirected the question into a lesson about doing research first. He graduated UCLA with an economics degree and resolved to work in the investment business, but after failing to get hired at any brokerage, he made a pivotal decision: if no one would pay him, he'd work for free.

Determined to learn from William O'Neil — whom he'd heard had done 'extremely well' — Ryan called O'Neil's assistant, talked for half an hour, and landed an interview with Bill himself the very next day. He doesn't remember what he said, but he got the job and started in the institutional department at William O'Neil + Company, surrounded by experienced salespeople who talked daily with Fidelity and major institutions. The environment was an education by immersion: he absorbed market wisdom not from a mentor sitting beside him but from the collective knowledge of an entire institutional desk.

Ryan's relationship with O'Neil wasn't close daily mentorship — he was a junior employee learning by osmosis from experienced salespeople. O'Neil's book didn't exist yet; Ryan learned from an early hand-bound prototype, a loose collection of pages with no cover — the raw materials of what would become How to Make Money in Stocks. Around 1986–87, O'Neil gave Ryan some of the company's money to manage — making him effectively the firm's first internal portfolio manager. He doubled that account riding the 1982 bull market, then got badly chopped up when growth stopped working, eventually seeing the account fall from $60K to $16K before the turning-point weekend that changed his approach.

Ryan's advice for developing pattern recognition is specific: pick one great performing stock and study it exhaustively — every week's and day's price and volume action, the base, the breakout, the continued move, the correction, all the way through. The goal is to get the characteristics of a truly great stock memorized so that when the pattern shows up again, you recognize it immediately and can act. He is skeptical of most trading books published after O'Neil's, arguing most regurgitate the same principles without adding value. His closing recommendation: start with a very small account — so small you don't care if you lose it all — and trade real money. Simulated trading doesn't teach the emotional responses that turn knowledge into execution. The feelings of fear, greed, and regret are the curriculum, and paper trading skips them entirely.

The episode opens with a highlight reel: Ted Zhang, a 25-year-old portfolio manager at Reverd Asset Management — a firm managing over $400 million — reflects on how COVID sent him home from college in spring 2020 and his 'curious mind instantly got hooked on the markets.' Host Richard Moglen introduces Ted and sets the stage for a deep dive into his thematic catalyst momentum system.

Ted Zhang was on track to become an oral surgeon, having completed a premed/predental track and earned dental school acceptances, when COVID sent him home in spring 2020. With time and his dad's CNBC in the background, his curiosity pulled him toward the markets. He started with money from Uber Eats and DoorDash — around $5–10K — and plunged it all in, turning that initial stake into at least 15–20x in 2020–21. The gains came fast, but so did the inevitable giveback that followed.

After his 2020–21 run, Ted gave back roughly 50% of his gains — but not all at once. It was a gradual erosion of paper cuts, which he credits with keeping the experience survivable. A critical factor: he had to step away to study for and take the dental admissions exam, which forced a trading hiatus and prevented a full destruction of capital. That combination of enforced discipline and a softer drawdown gave him the time and clarity to study systematically before returning with a real framework.

Ted walks through the first two pillars of his reading list. The Daily Stoic by Ryan Holiday instilled the core practice of focusing on what you can control — a philosophy he reads a page of daily for over four years, eventually buying the leather-bound edition. The core message: the market will do what it wants; your only job is to control your response. William O'Neal's How to Make Money in Stocks is the literal foundation of Reverd: Don built the firm's entire system from it, and the CAN SLIM framework — earnings, chart pattern, supply/demand, leadership, institutional sponsorship, market direction — remains the organizing structure for Ted's stock selection process.

Ted highlights two more foundational books. Jesse Livermore's How to Trade in Stocks, which he is rereading for the third time, reveals that every modern trading principle — market leaders, sister stocks, sector themes, record-keeping — was discovered a century ago. Livermore's observation that 'the market repeats because human nature never changes' is a cornerstone of Ted's conviction in pattern-based trading. Stan Weinstein's Secrets for Profiting in Bull and Bear Markets provides the stage analysis framework: every stock is in one of four stages (basing, advancing, topping, declining), and the first thing Ted does when looking at any chart is identify which stage it's in. Stage analysis is a foundational part of his process.

Ted highlights Nicolas Darvas's How I Made $2,000,000 in the Stock Market as a model of process: Darvas was traveling the world as a dancer, not staring at quotes, and his system of boxing price action and using telegram-based stop orders enforced distance from the screen — exactly the discipline most traders lack. Ed Seykota's observation reinforces the same truth: a quote monitor becomes a slot machine that makes you overtrade. The more you watch, the more you act, and the more you act, the worse your results. Darvas's method of 'only looking at prices once a day through the newspaper' is a lesson in the value of forced distance from the noise.

"Ed Seykota says if you sit in front of the quote monitor, it just becomes a slot machine."

Ted rounds out his reading list with Mark Minervini's books (Trade Like a Stock Market Wizard and the Market Wizards series) and Stanley Druckenmiller's interviews — he has compiled a full playlist of Druckenmiller interviews on YouTube and studies them repeatedly. He also adds Robert Greene's 48 Laws of Power as a surprising inclusion on understanding competitive dynamics. Ted pushes the habit of rereading the same great books rather than racing through many: when you come back to a book as a more experienced trader, you find layers you missed. Heraclitus's river analogy applies — you're not the same trader as when you last read it, so the same text speaks to you differently.

Ted describes how he filters the flood of podcasts, books, and online content without losing his own framework. The key is confidence in a core style: he can take small pieces from any source — a nuance here, an entry variation there — test whether it works, and discard what doesn't fit. Excessive information consumption only becomes a problem before a stable foundation is built. He also credits the competitive instincts from soccer and video games as directly transferable: both markets and sports are player-versus-player, with strategic thinking under pressure and a scoreboard that holds you accountable. Robert Greene's Mastery supports the idea that trading aptitude reflects a passion rooted in childhood, not a skill chosen in adulthood.

The weekly journal uses an organic chemistry analogy: start from the desired end state, then reverse-synthesize each step required — the minimal viable process to get there. Ted also uses Notion AI to query his entire multi-year journal history for pattern recognition: 'summarize my strengths and weaknesses from this date to that date.' The AI reads years of his own trade notes and distills patterns he might miss in real time. He views trading as a complex system like the human body — you learn each subsystem (risk management, position sizing, entry tactics, sell rules, daily process, post-analysis) separately, then piece them together. The weekly review is where the subsystems are calibrated against each other.

Gon Gajala opens with an unlikely background: a filmmaker whose feature debut bombed at the box office. Looking for a new path, a friend introduced him to trading in late 2019 — Gon was initially skeptical, viewing it as gambling. His friend and a small group began researching companies using the IBD CANSLIM strategy, and Gon slowly came to see that trading was strategy-based, not luck. This is his first-ever interview, and he's visibly nervous but eager to share what he's learned.

Gon describes his first year of real trading from mid-2021 to mid-2022. Working solo, he studied charts shared by day traders on social media — traders posting 1–2x daily returns on small-cap names — and tried to reverse-engineer their patterns. His cornerstone was a concept from mentor Bryce: risk exactly $20 per trade, size small, and focus on consistency over profits. Despite the small risk, he struggled with beginner problems: ignoring established setups in favor of his own ideas, and watching everyone on Twitter claim 2022 as a breakout year while his own results languished.

Gon explains his nightly review process. He doesn't just screenshot charts — he records himself narrating the chart aloud using on-demand video, which forces him to articulate the thesis and find the gaps in his reasoning. In 12 minutes of review he can absorb 4–5 hours of tape reading. He keeps a Playbook organized by setup type that includes both winning and losing trades, so he trains his eye on what to do and what to avoid. He also journals with pen and paper daily, meditates using the Insight Timer app, and practices visualization: mentally rehearsing how he'll react when the next trade goes against him.

Asked what advice he has for traders building their own Playbook, Gon is emphatic: screenshot everything. Every trade, every missed trade, every setup that worked and every setup that failed. But screenshots alone aren't enough — he strongly recommends video recording your chart reviews because a static image doesn't capture the sequence and speed of price action. The live recording preserves the experience of watching the trade develop in real time, which is what you need to build pattern recognition. He also studies multi-day movers: stocks that showed strength on day one and formed a fresh continuation setup on day two.

Gon closes with the study method that built his chart intuition: dump a category of charts without trying to understand them at first, study 30–40 examples until a pattern emerges, then form a thesis about why the move happens. He believes small-cap and low-float reversals will be the defining setup going forward — big explosive moves once they break structure. He credits his mentors: Mark Minervini, Lance Breitstein, SMB Capital, and TraderLion, and plans to compile his presentation into a shareable format to help other traders. His core message: observe everything. The answers are already out there; the work is in the looking.

Gon's final advice for struggling traders: focus on execution above everything. Everyone reads the books and does the work, but execution is where it fails — that's what kept him unprofitable. His recommendation is to work backwards from execution: start by identifying your specific execution failures (impulse trades, hesitating on entries, cutting winners early) and then figure out what you need to fix upstream — better chart reading, meditation, a clearer mindset — to execute better. Most traders do it the other way: they study more, read more, learn more setups, and never close the gap between knowing and doing. That gap is the whole game.

Tito expresses excitement about being on TraderLion, a show he's watched for years. He thanks host Richard for having him and describes it as a full-circle moment — going from viewer to guest. Richard introduces Tito's remarkable background and sets the stage for a deep dive into his trading journey.

Tito was born in Canada but raised in India, where his father ran a chemistry lab. He followed his father's path with a bachelor's and master's in chemistry, then made a leap to Harvard for a PhD in cancer biology, shifting from chemistry to the life sciences. After eight years as a graduate student and postdoctoral scientist, he transitioned into venture capital in the biotech space — a background that would later shape his analytical approach to the markets.

By early 2021, Tito's COVID stocks had multiplied 2.5x. As lockdowns stretched on and lab experiments paused, he went down a trading rabbit hole — moving from long-term investing to swing trading, penny stocks, and options. He quickly realized buying options was a losing game for him, pivoted to selling premium, and learned that selling options has a higher win rate but larger losers. The phase gave him exposure to the full risk spectrum, setting the stage for the harder lessons of 2021.

"I didn't realize at the time how lucky I was. I sort of without any skill timed the bottom — but 2020 was just so forgiving."

Asked about his learning sources, Tito describes reading Market Wizards by Jack Schwager and Mastering the Trade by John Carter. Market Wizards showed him the diversity of successful trading styles — each chapter featured a different trader with a different methodology, which taught him there's no single right way. From Carter he absorbed practical options concepts like price compression. A key takeaway from Market Wizards: there are bold traders and there are old traders, but there are no bold old traders — a principle that warned him that longevity requires survival first. He also listened to podcasts like Chat With Traders.

"There are bold traders and there are old traders, but there are no bold old traders."

Tito draws a direct parallel between scientific research and trading. In the lab, you start with a hypothesis, run an experiment, build a database of results, and tweak variables like concentrations and temperatures. In trading, you start with a trade thesis, take a position, build a database of outcomes, and tweak variables like position size, entry tactics, and exit rules. The core skill is the same: learning from failed experiments — or failed trades. A PhD trains you to be detail-oriented, take notes, learn from mistakes, and operate under uncertainty for years without binary feedback — all directly transferable to trading.

A PhD trains you for long periods without clear progress markers, which prepared Tito for trading's inevitable struggles. He never entered trading expecting to master it in one or two years — he knew Minervini took six years and many greats took seven to eight years to achieve consistent profitability. Starting trading as a side pursuit rather than a career necessity gave him realistic expectations. When times got tough, this mindset helped him persist. The host relates this to Sean Ryan, David Ryan's son, who learned the same lesson: the market doesn't care who your dad is. Tito agrees — no credential, Harvard PhD included, protects you from the market's lessons.

"I have never felt so stupid and so dumb as in the market. The market teaches you so much about yourself and all your liabilities."

Not every style fits everybody — Tito urges traders to try different approaches in their first year or two, then commit to the one that matches their personality. Strategy hopping is a common trap. Study missed trades as diligently as the ones you took — patterns of inaction reveal as much as patterns of action. Most importantly, play the long game: Tito found the markets in his late 20s and expects to compound for 30 or 40 more years. What you make today, this week, or this month pales in comparison to where compounding can take you over decades. The real edge is staying in the game.

Buffett explains his reading habit as an 88-year compounding advantage: read widely, remember the lines that clarify difficult problems, and apply them decades later. On GE: he deployed capital actively in late 2008 but was early — he used his powder before the March 2009 bottom. He then walks through Berkshire's structural capital efficiency: businesses like See's Candy that cannot be expanded geographically still throw off cash, which Berkshire redeploys into BNSF or utilities without incurring the tax leakage that individual investors face when they sell one asset to buy another.

"If you just remember these things and apply for 88 years — you don't know what happened yesterday, but you remember the old stuff."

Schwager explains that unlike many of the traders he would later interview, he never planned to be in markets. An Ivy League economics grad who expected to find work immediately, he placed a $15 classified ad in the New York Times asking for any analytical role and received 15 responses — 14 of them sales schemes. The one legitimate call was for a commodity analyst position. In the interview, asked what he knew about commodities, he answered 'gold' — embarrassingly little. He spent a week in a Brooklyn library absorbing everything on copper from yearbooks and trade publications, wrote an article that circulated around the office, and was told afterward that everyone said 'pick this guy.' Writing had already become the skill that opened every door.

"I said something like 'gold' — and it's embarrassing how naive I was. But I spent a week in that library reading everything I could on copper, and it was that article that got me the job."

Schwager describes what commodity research actually looked like in the early 1970s, before screens or PCs. Assigned four markets — sugar, cotton, cattle, and hogs — he constructed supply-demand models by hand using USDA statistics, import-export data, and historical prices. Regression analysis was done on a hand calculator. Prices were tracked on ticker boards that clicked as they changed. His output was a weekly market letter mailed to brokers and clients. The entire process was fundamental economic analysis with no technical tools whatsoever — and he was actively dismissive of chart analysis, as any academic-trained economist of the era would be.

"You didn't have any screens, you didn't have a computer. You had those huge boards in the front of the room that would click as the price changed."

After twelve years in the business, Schwager decided no good textbook on futures market analysis existed and took a sabbatical to write one — with no commercial ambition, just wanting the best possible reference. He spent a year writing nearly 800 pages by hand; a planned single chapter on regression expanded to six because he could not explain it without first building the statistical foundation. The process was painstaking: correspondence with universities for obscure research, constructing every statistical table by hand, writing and rewriting until it was the book he would want to read himself.

"I just wanted to write the best textbook on analysis of futures markets. The idea of selling a lot of copies was not in my mind at all."

The book's credibility and reach led directly to the Market Wizards concept — publishers approached Schwager because the textbook established him as an authority who could bridge rigorous analysis with accessible writing. When it published, a Wall Street Journal review by Stanley Angrist sold out the first printing overnight — but the publisher took months to reprint copies, blowing the initial momentum. Despite that misstep, the book has continued to sell year after year. The deeper impact: people wrote to Schwager saying they entered the trading business because of his books, something he never anticipated when he started writing.

For Unknown Market Wizards, Schwager focused on solo traders nobody had heard of. One of the book's most extraordinary subjects — a trader who turned $5,000 into $250 million — emailed him out of the blue years earlier; Schwager filed it, started the book, contacted him, and received verified monthly brokerage statements going back nearly twenty years. Others came through FundSeeder, a trading analytics platform that surfaced traders with exceptional risk-adjusted returns, or via Twitter callouts. Peter Brandt, a close personal friend, was included specifically so his market wisdom could be preserved for posterity.

"He just emailed me out of the blue — and I had filed it away. When I started Unknown Market Wizards, I contacted him and he sent me his monthly brokerage statements going back nearly twenty years."

The first Market Wizards book relied entirely on personal connections — Michael Marcus and Bruce Kovner were colleagues from Commodities Corporation, and Jim Rogers was already a known figure. Schwager contrasts this with the later books where he had to build trust with complete strangers. A universal technique across all books: offering every subject the right to review the final draft before publication. This assurance was not just helpful in getting the interview — it was critical in getting people to speak openly. When subjects know they can correct anything they regret saying, they drop their guard and the real conversation happens.

"I'll let you see a copy of the final draft, and you can review it — if there's anything wrong we can change it. That assurance was helpful in getting the interview, but more importantly in getting them to be open."

Schwager describes the challenges of interviewing traders who gave him minimal time — Richard Dennis and Ray Dalio each gave him only one hour, twice. His most intense experience was Tom Baldwin, a pit trader executing Morgan Stanley-sized bond volume for his own account, interviewed on St. Patrick's Day in Chicago when everyone was heading to the bars. Schwager felt like 'a photographer trying to get a picture of a rare bird about to fly away.' He had to have the next question ready before Baldwin finished answering. The lesson: adapt your interview approach to the subject — some need you to slow down, others need you to keep up at their speed.

"I felt like a photographer trying to get a picture of a rare bird that was about to fly away in an instant — I had to have another question ready before he could even finish answering the last one."

Schwager tells the story of discovering Gary Bielfeldt (BLH), a bond trader working from Peoria, Illinois, who was so unknown that Schwager first learned of him through wire service mentions of unusually large trades. When Schwager cold-called him, Bielfeldt's phone interview was painfully sparse — short answers, no elaboration. But the story of how Schwager found him — noticing a pattern of massive bond trades from an address nobody recognized — illustrates the reporter's instinct that drove the series: follow the data trail, and sometimes you find a wizard hiding in plain sight.

When the host asks what changed across the three-decade span of the Market Wizards series, Schwager is definitive: the core findings were essentially unchanged. Electronic trading, computers, quantitative firms, and new markets transformed the infrastructure of trading but not its principles. What made traders great in 1989 — discipline, genuine edge, risk management, love of the game — still makes traders great today. The technology changes how trades are executed; it does not change why some traders win and most lose.

Schwager observes that successful traders rarely matched the lavish social-media image — many were intensely focused professionals with structured routines: Peter Brandt does his chart analysis every Friday without fail; traders in Unknown Market Wizards maintained detailed written reviews of every trade, reviewed monthly. Schwager admits he cannot remember where the term 'Market Wizard' came from — it sounded right and stuck. He also reveals that the first printing of the original Market Wizards sold out overnight after a single Wall Street Journal review — and the publisher took months to reprint, a missed opportunity that still frustrates him.

Schwager says he has no plans for another book — he is retired from writing, and the most recent Market Wizards volume is likely the last. If he ever did another, he jokes he would title it 'The Last Market Wizards.' He closes with advice drawn from a career spanning five decades of conversations with elite traders: think in terms of conversation, not questionnaires — listen to what the other person says and follow the tangents that open up. Strive for excellence in every aspect of whatever you do. And only do it if you genuinely love it, because that passion is what separates the people who endure from those who burn out.

"Think in terms of conversation — listen to what the other person is saying, because the answers will often lead to better tangents than the questions you planned to ask."

Munger explains why he distrusts economists: economics is not like physics. The same policy recipe applied in a different era gets a different result. You cannot step in the same river twice — the man is different and so is the river. He closes with his formula for a long and happy life, which he calls almost embarrassingly simple: no resentment, don't overspend your income, stay cheerful despite your troubles, deal only with reliable people, and do what you are supposed to do. He says he had this figured out by age seven, having noticed irrationality in the adults around him from an early age. On children and parenting: they arrive largely pre-made, and he has found no way to alter what was built in at birth.

"You don't have a lot of resentment, you don't overspend your income, you stay cheerful in spite of your troubles, you deal with reliable people, and you do what you're supposed to do. All these simple rules work so well — and they're so trite."

Schwager opens with Kristjan Qullamaggie — a security guard who turned $5,000 into over $100 million — as a lens for exploring how market wizards develop. He observes that many great traders developed an unusual passion for markets as early as high school, a rarity at that age. He recalls Steve Conn telling him about going to brokerage offices during lunch just to watch the tape, and notes that in his upcoming book he’s finding traders who started as young as 13. Sometimes the catalyst is a high school teacher running a trading contest — an unexpected hook that sparks a lifelong obsession with markets.

Another common theme that initially surprised Schwager but has proven near-universal: nearly every great trader suffered a devastating early blowup. He argues this is not incidental — suffering a major loss imprints a visceral, lasting respect for risk that no textbook can replicate. Ray Dalio’s pork belly disaster, watching the market go limit-down against him for days, is cited as the formative experience that permanently shaped his approach. Schwager notes that some prop firms deliberately prefer to hire traders who’ve blown up, reasoning that those who haven’t don’t truly understand what they’re risking. Initial failure, he concludes, is much more common than initial success among the traders he’s profiled.

Schwager previews “Market Wizards: Next Generation,” co-authored with George Coyle — who, Schwager reveals, was the catalyst for the project, having pushed for a new book through their ongoing conversations. He discusses Kristjan Qullamaggie as a standout interview: a trader whose arc from security guard to $100 million captures the essence of what the series looks for — not just the outcome but the complete journey of failure, learning, and eventual mastery. The book marks the first time Schwager has worked with a co-author, and he credits Coyle’s involvement with both revitalizing his motivation and bringing fresh perspective to a series he has been building for decades.

Schwager highlights Chris Camillo, who built an extraordinary track record by analyzing consumer behavior trends on social media before they registered in financial data. Camillo’s method involves spotting brand and product trends on platforms like TikTok months before mainstream attention arrives — his first trade came from noticing a retail location being displaced by another brand and asking his broker brother how to profit from the observation. Schwager admits he would have dismissed Camillo’s approach as noise earlier in his career, but the documented multi-million dollar track record proves otherwise. Camillo uses no technical analysis — his edge comes entirely from observing what consumers are actually doing and buying in real time.

Schwager introduces Jimmy Balodimas, a prop trader at First New York whose approach defies conventional wisdom. Balodimas is not just contrarian — he actively fights every trend, often to his own detriment in individual trades. Schwager discovered him through his son, whose first job out of college was as Balodimas’s trading assistant and who kept insisting his father wouldn’t believe this trader. Despite Balodimas seeming to break every rule, he succeeds through an extraordinary talent for trading around a position: entering and exiting in increments, taking quick profits on counter-moves, and adjusting size dynamically. His background in auction-market theory — reading price as a dynamic negotiation between buyers and sellers — gives him a structural understanding of markets most screen traders never develop.

Asked which Market Wizard styles translate best for disciplined retail traders, Schwager is candid: most great traders are deeply individualistic and their methods don’t transfer well. Ed Thorp’s mathematical arbitrage, for instance, requires a quant background few possess. But Schwager identifies growth stock and momentum-based approaches — grounded in O’Neill’s CANSLIM principles — as among the most learnable because they are rule-based, systematic, and driven by observable market data. The key is that these approaches have a codifiable logic: specific criteria for entry, defined stop levels, and a clear process for identifying candidates. For traders willing to put in the work, these styles offer a realistic path to edge.

Schwager describes a research approach that balances preparation with openness: he learns enough about a trader to understand their style and ask informed questions, but deliberately avoids over-preparing in ways that might anchor the conversation. For high-profile traders with public records, he reviews available interviews and writings. For the unknown traders who increasingly populate his books — private individuals with no public presence — he often goes in nearly cold, letting the conversation reveal the person organically. He notes the interview itself is a small fraction of total work: the real time goes into pre-interview research, post-interview transcript analysis, and the craft of shaping raw conversation into a readable narrative.

Schwager explains the unlikely origin of the Market Wizards series. In 1983, he wrote a comprehensive analytical book on futures markets — working without a word processor, doing calculations by hand — that did well enough to establish his reputation. Years later, a colleague suggested he interview great traders for a new book. When Schwager hesitated, the colleague pushed: “Do you have a better idea?” That conversation became the catalyst. Schwager wrote the first Market Wizards working nights and weekends while holding his regular job — an intensive year-long effort he says he couldn’t replicate today. The book came together with remarkably few rejections, largely because existing relationships opened the right doors. He never intended to write a series; each subsequent volume emerged only because the previous one found its audience.

Asked which trader he most wanted but failed to interview, Schwager answers without hesitation: George Soros. Despite multiple attempts over the years, he never got past Soros’s gatekeepers. Schwager considers Soros one of the greatest traders of all time — with an extraordinarily long career and a fascinating life story — making the missed interview one of the most compelling untold stories in market history. The Soros miss is a reminder that even the most persistent and well-connected interviewers face access barriers they cannot overcome.

The most striking feature of the upcoming Market Wizards: Next Generation is the age of its subjects — nearly all are under 40, with most in their 30s, the youngest cohort Schwager has ever profiled. The book includes a higher proportion of traders who leverage data sources unavailable to previous generations: social media sentiment, short-side small-cap strategies, and algorithmic pattern recognition. Schwager notes this is the first generation of traders who have grown up with tools and data that simply didn’t exist when the original Market Wizards were building their careers.

Schwager describes two distinct filters for identifying traders worthy of inclusion in his books. The first is the story filter: extraordinary absolute returns built from a small starting amount — someone who turned $50,000 into $500 million. The second is the performance filter: exceptional risk-adjusted metrics, particularly Sortino ratio with controlled drawdowns. Schwager explains why he prefers Sortino over Sharpe ratio — Sharpe penalizes upside volatility, unfairly disadvantaging traders who generate large gains. Rarely does a trader satisfy both filters simultaneously, but when one does, it is immediately obvious. These two lenses — one narrative, one quantitative — have guided his selection process across every book in the series.

Schwager discusses FundSeeder, a platform he co-founded to address a structural problem: talented traders without institutional backgrounds or pedigree have historically had no way to surface their track records to capital allocators. FundSeeder standardizes performance reporting — calculating Sortino, Sharpe, maximum drawdown, and other risk-adjusted metrics from uploaded trade data — so that a trader anywhere in the world can present their record on equal footing with an institutional candidate. The platform has attracted thousands of users globally, with some going on to secure allocations or fund employment. For Schwager, FundSeeder is the practical extension of what his books argue: great traders exist everywhere, and the barrier has always been access, not talent.

Kristjan describes going full-time almost immediately after starting to trade in 2011, while finishing his biomedical engineering degree as a safety net. He blew up multiple times day trading in the early years — running up gains and then losing it all — before finally getting it right. He emphasizes that having a fallback plan mattered less than the commitment: going all-in forced him to develop the discipline to survive. The blowups were not setbacks but prerequisites, imprinting a visceral respect for risk that carried forward throughout his career.

After two years of day trading, Kristjan began studying thousands of historical charts and noticed a pattern: the biggest moves in stocks take weeks and months to unfold, not minutes. Day trading was inherently limiting — even a large intraday move is a ceiling on what you can capture. Swing trading let him stay in momentum stocks through their full trend and capture exponential returns that no intraday approach could replicate. This insight — that momentum compounds over time, not within a session — was the foundation he built everything else on.

After making his first million dollars, Kristjan still had real doubts about how far he could go. The turning point was not the money but the recognition of pattern: studying the biggest winning stocks across decades, he realized the same consolidation structures, breakout behavior, and fundamental drivers appeared repeatedly. Pattern recognition — built through looking at thousands of examples until setups become intuitive — is how confidence is built in trading, not through reading or theory. He credits this obsessive chart study, done on weekends over years, as the true foundation of his edge.

Asked how trading success changed his life, Kristjan gives a characteristically honest answer: he went from obsessively studying everything market-related — reading books, saving articles, spending 10,000-plus hours on weekends studying chart patterns and successful traders — to spending his days off playing computer games. That shift from grinding study to a relaxed lifestyle is itself the reward. He closes by emphasising the depth of study that built his foundation: looking at every single angle and method until the patterns became second nature. He didn’t just learn one setup — he absorbed everything, and only then committed to the approach that fit him best.

When evaluating trading advice or strategies, Pradeep focuses on the content rather than the source's reputation, verifying every idea by checking it against historical data before accepting it. He debunks a widely repeated market rule — that stocks holding up best in corrections make the biggest post-correction moves — which he personally tested and found to be false. The same skeptical verification applies to discovering edges: by surveying what 20 or 30 well-known day traders publicly say and do, a motivated beginner can independently reach the conclusion that small-cap shorting is the dominant day trading edge. Ideas can come from anywhere; the filter is evidence, not authority.

"I don't go by what the person is. I look at what is the content. I don't trust any information but I verify by doing deep dive, by looking at — does this make sense?"

Pradeep traded a single setup for his first ten years before expanding his playbook, and credits that sustained focus as the foundation of his expertise. Social media and YouTube create what he calls a Chinese buffet problem for developing traders — exposure to dozens of different swing trading styles and timeframes makes it tempting to sample everything rather than commit deeply to one approach. The same principle applies when testing new ideas at any stage: always start with five or ten shares rather than full size, practicing the setup consistently for three to six months before scaling. Capital preservation during the learning phase is critical — traders who run out of money just before achieving profitability cannot continue.

"You have to trade one setup idea for a long period of time. It takes three to six months to make one setup idea work — sometimes even longer just to get the entry technique right. If I change my setup every day or every week or every month, I never build expertise."

Most people enter trading expecting profitability within a year or two, but self-leadership includes an honest tolerance for the actual time horizon required. The pathway matters enormously: joining a prop firm gives a beginner role models and a structured environment that compresses the learning curve, while the solo trader in a basement faces a longer and more uncertain road. Pradeep introduces a counterintuitive point about trader development: profitable traders need creativity and innovation first to solve their own problems, and only become disciplined once they find what works. Rigidly enforcing discipline too early prevents the experimentation and tinkering required to discover a workable edge. The arc is creativity first, then discipline — not the other way around.

"If you are very disciplined in the beginning, you'll never go outside the box — you'll never be innovative and creative, and you'll never be able to solve problems. The fundamental problem for a trader as a beginner is to solve their own trading problem, and to solve that you need creative innovation."

The most important first decision for a new trader is choosing a timeframe: day trading, swing trading, and position trading require fundamentally different skills, tools, and temperament. Once that decision is made, copy a proven strategy within that timeframe — for day traders, small-cap shorting and news-based stocks in play are the most documented edges. Pradeep reflects on the extreme difficulty of unlearning bad trading habits once formed: procedural memory makes wrong behavior automatic, just like a bad driving technique that persists despite conscious effort. The traders he has seen genuinely transform were often those who first hit absolute rock bottom — losing borrowed money, a relationship, or everything — before rebuilding with real discipline. The lesson: get the system right early, because a faulty framework that bakes in over years is very hard to rewire.

"It's very difficult once you build bad habits to change them because there's procedural memory — if you learn the wrong way to drive, it's very difficult to change. Same way in trading."

Williams traces his path into trading to a newspaper headline about the 1962 market crash caused by President Kennedy rolling back steel prices — a story that made him ask what it all meant, and never stop asking. With almost no trading literature available in the early 1960s, he educated himself through a handful of books, including Joe Granville's, before meeting Bill, a technically-focused trader in Baltimore who became his first major mentor. Bill taught him the Commitment of Traders report, market squeeze plays, and a framework for reading the long-term direction of markets.

"I'm really into big broad volume markets."

Williams reflects on the traders who influenced him most beyond Bill. A legendary blind bond trader named Charlie Francesca demonstrated the power of discipline under adversity. The deeper revelation came from Steve, one of the greatest bond traders Williams had ever encountered: Steve was not a mechanical system trader. This shattered Williams's assumption that all successful traders must follow clean, rule-based systems. Steve had a profound intuitive sense for markets — non-codifiable, non-mechanical, and consistently exceptional. The lesson was uncomfortable but important: mechanical systems do work, and Williams uses several, but they are not the only path to consistent profitability. The best traders are defined by their edge, not by whether that edge is systematic.

"He's not a mechanical trader — that was just a huge lesson."

Williams describes his end-of-day routine: reviewing trades in a physical notebook — recording what he did right and wrong — placing orders for the next session, then deliberately walking away. He finds that the more he watches intraday price action, the more he second-guesses and the worse he does. Every Saturday morning he reviews weekly charts, seasonality, the Commitment of Traders report, and longer-term fundamentals to set a directional framework for the coming week. On health: Williams ran over 70 marathons, still competes in 5K races and track events, and treats physical fitness as directly connected to longevity in the markets. He cites the Framingham study's finding that lung function is the single strongest predictor of how long you will live, and uses high-intensity interval training to maintain it — reasoning that a longer career means more years of compounding.

"The more I watch it, the more I screw it up."

Asked what advice he would give new traders, Williams leads with pragmatism: this is not an easy business, despite what the internet would have you believe. Ronald Reagan's maxim — 'trust but verify' — applies especially to trading systems and methodologies promoted online. If trading genuinely isn't suited to you, the sooner you acknowledge it the better; not everyone is cut out for this work, and recognizing it honestly saves enormous pain and capital. For those who are suited: don't look for instant wealth. This is an ongoing educational experience — Williams references an 86-year-old soybean trader who said he was still learning. He addresses market structure change directly: the shift to electronic trading compressed the time frames that used to work and made information instantaneous globally, requiring constant adaptation across a career. Gold, once illegal for Americans to own, is now a market he trades — markets evolve, and traders must evolve with them or be left behind.

"Trust but verify — read all these internet claims, look into them, but don't buy it until you've verified it."

Williams recounts a study conducted by his son Jason — a Johns Hopkins-educated psychiatrist who profiled exclusively winning traders, since most research had focused on losers. Three consistent traits emerged: winners were exceptionally good with details, they did not experience significant emotional swings, and they were notably not overconfident. Williams contrasts this with the traders he has known who blew up — uniformly loud, boastful, and certain of their abilities. The lesson is uncomfortable for anyone who associates success with confidence: trading rewards detail-oriented, emotionally even people who respect the uncertainty of every trade. The overconfident trader bets too large, stops listening, and eventually pays for it. He recommends Jason's book 'The Mental Edge in Trading' for those who want to study the psychology of winning traders in depth.

"This is not a business for perfectionists."

Ted Zhang explains how a COVID quarantine in spring 2020 — watching his father's CNBC during a crashing market — was his entry point into trading at age 19, with no finance background. With no technical knowledge he noticed a structural pattern in SPACs: these shell companies traded near the $10 net asset value floor because shareholders would be repaid that amount if no merger occurred, creating capped downside with open upside when a merger rumor hit. He began accumulating near NAV and selling into announcement rallies — a self-discovered, intuitive understanding of asymmetric leverage before he knew what the term meant.

"Somehow just like some way without even learning, I intuitively understood asymmetric leverage."

The host notes that luck met preparation in Ted's story: building a personal brand on X, sharing market insights publicly, and cold-DM'ing 25 to 50 portfolio managers was what put Ted in position. He draws a parallel to Joe Alugba, another young trader who did the exact same thing and now works at a London hedge fund at age 21. Ted's point: the internet has demolished the access barrier to talented people, but most people never make the ask. A cold DM to someone whose work you respect — genuine, specific, and backed by a visible track record of public content — has a meaningful response rate that most people underestimate.

"You know, with the internet now, it really democratizes who you can meet. Putting yourself out there — it's in front of the entire world."

Host asks how Ted developed market knowledge so quickly without a finance background. Ted credits trial and error: diving into the COVID crash with no technical knowledge, he built his edge around SPACs by observing the structure — $10 NAV floor, asymmetric upside. The VTIQ/Nicola SPAC was his first major win: bought shares near $18, the definite merger agreement was announced, the stock ran to $70-80, and Ted sold all shares around $76 after a small pullback. He is candid that in 2020 with the Fed pumping liquidity, it was like shooting fish in a barrel — there wasn't a lot of skill to it. The broader SPACs ecosystem — Lucid, Tattooed Chef, Chamath's IPO series — kept feeding the edge for six to eight months.

"That was really the first big trade that got me into it. And back then in 2020 with the Fed putting so much money, it was just like shooting fish in a barrel."

After the drawdown and a break for dental admissions prep, Ted discovered William O'Neil's How to Make Money in Stocks and then built out the broader trading canon: Reminiscence of a Stock Operator, the Market Wizards series, Minervini, and Weinstein. The CANSLIM framework organized his thinking: Current quarterly earnings (25%+ YoY growth), Annual earnings trajectory, New product or service, Supply and demand reading via price-volume, Leader vs. lagger in relative strength, Institutional ownership quality, and Market direction as the most important overlay. Having prior market experience meant he could immediately map every principle to something he had lived through.

"No matter what, just reading the books or taking courses, it's not going to work. Like you need to be in there."

The host asks why elite growth stock traders all converge on the same books — a pattern absent in futures and forex communities. Ted points to O'Neil's How to Make Money in Stocks: O'Neil studied every major market winner going back to 1950 and found the same price-volume patterns repeating across every decade. The CANSLIM system is built on those findings. Ted's explanation for why it still works: stock tickers change, participants change, but supply, demand, and human psychology have not changed in tens of thousands of years. Any methodology rooted in those invariants has a permanent operating base; methods tied to a specific technology era or regulatory moment are inherently temporary.

"The laws of supply and demand don't change. The laws of human psychology don't change."

Robert Greene's Mastery prompted Ted to do an exercise: look back at childhood obsessions and natural inclinations. He played competitive soccer from age 5 to 18 — drawn to pattern recognition, competition, and performance under pressure. Trading matched that wiring in a way dentistry never could. The Japanese ikigai framework — the intersection of what you love, what you're good at, what can make money, and what helps others — gave him intellectual permission to leave the safe, expected path. The decision was not impulsive: it came after identifying that his natural inclinations pointed unambiguously at markets.

"Find that life task of yours."

River's daily call structure — morning and afternoon — forces perspective-sharing across different observers of the same markets and surfaces blind spots that solo traders never encounter. Ted cites Ray Dalio's principle: when two knowledgeable, intelligent people disagree, that disagreement contains important information — neither view should be dismissed. For retail traders without access to a firm, the equivalent is a small Discord or group chat of 2-10 traders with similar styles. The outreach that got Ted his own career started with a direct social media message to the firm — cold DMs to people whose work you respect are underutilized and often effective.

"Don't be afraid to DM people. That's how I got this job in the first place."

Most traders enter markets believing that chart-reading is the core skill, then wonder why it is not enough. Ted describes the actual skill layers that reveal themselves over time: technical analysis (layer one, the easiest and most visible), risk management and position sizing (layer two, the most impactful on outcomes), progressive exposure mechanics (layer three — sizing up in favorable conditions, pulling back when feedback turns negative), and market environment identification (layer four — knowing when your specific edge is in favor). Each layer took years to develop, and they emerged in sequence naturally, not by design. Most traders never get past layer one because the feedback loop doesn't force them to until they experience a large drawdown.

"I put so much emphasis in learning technical analysis, analyzing chart patterns, and that's really just layer one. The most important layer is actually the market environment."

Trading trend following one month and mean reversion the next means mastering neither and developing no intuitive feel for when either edge is in or out of favor. Ted makes the case for deep specialization: consistent inputs over months and years are what allow the feedback loop to function. If inputs are random, there is nothing meaningful to diagnose when results disappoint. He cites Druckenmiller, Kullamaggie, and Breitstein as indirect mentors who all stress consistent, disciplined execution of a single approach through the inevitable off-periods. The core insight: the moment most people quit a strategy is often precisely when it is about to start working again, because the quitting itself is a contrary signal of maximum frustration.

"If you do everything under the sun, you're going to be a master at none."

Ted and Connor first met at a boarding school soccer program at age 13, reconnected through social media during COVID, and eventually both independently applied to River by cold-DMing the founders — without disclosing they knew each other. They only revealed their connection after both had full-time offers. A mutual friend who had traded with them and then blown up his account became their part-time data scientist — Ted notes that blowing up, while painful, gave him a unique perspective on what not to do. Ted shares earlier networking: he spent a summer as an unpaid intern at TraderLion, which he also initiated with a cold DM to Richard Muglin, helping build a Stan Weinstein stage analysis course. Every career door opened through direct outreach.

"I DM'd Richard Muglin — can I just do an unpaid internship with you guys? I want to learn."

James Clear's Atomic Habits — read three times by Ted — distinguishes three levels of behavior change: goal-based (I want to lose weight), system-based (I will gym 5 days per week), and identity-based (I am a healthy person). The highest and most durable level is identity: when you see yourself as a certain type of person, the behavior follows without willpower expenditure. This applies directly to trading: the trader who identifies as a disciplined process follower behaves differently under pressure. Clear's sequencing principle — start small, build consistency first, then scale intensity — maps perfectly to building a trading practice. Ted acknowledges that even with a strong identity, life events can disrupt the routine — during his father's illness, discipline wavered — but identity-based foundations mean the deviation is temporary, not permanent. The practical minimum viable discipline: cut losses quickly and refuse to hold big losers. If you do just that, you won't destroy yourself.

"We are what we repeat and therefore excellence is not an act but a habit."

Ted shares the story of his summer internship at TraderLion, which he got by cold-DMing co-founder Richard Muglin. During a three-month gap between dental school applications and responses, he had time and used it to immerse himself: helped build the Stan Weinstein stage analysis course, read 10-15 books, and learned directly from experienced traders. He notes that the founders of TraderLion — Richard Muglin and Ross Haber — were ex-portfolio managers who had managed capital for William O'Neil's firm, giving them direct lineage to the CANSLIM tradition. Ted credits this internship as a pivotal learning accelerator: being embedded in a professional environment, even unpaid, forced faster development than years of solo study.

"Find people who are where you want to be and learn directly from them — that compresses years of trial and error into months."

Ted's SPACs edge lasted nine months before ending. The broader principle: temporary edges — those tied to a specific market structure or regulatory moment — always expire. Methods rooted in supply-demand and human psychology persist because their foundation never changes. The same CANSLIM-style strategy gets crowded, frustrates traders who abandon it, and then starts working again after they have left. Every Market Wizards trader documents this pattern. The advice for anyone building a system: don't try to figure it all out from scratch — that is partly ego. Learning from the greats who came before cuts years off the learning curve without reducing the depth of understanding.

"Build your system off principles that are timeless."

Ted defines success through the ikigai framework: trading for himself covers what he loves, what he's good at, and what pays — but lacks the "helping others" dimension. Asset management at River provides all four. Beyond work, success means health first, then faith (in whatever form — it tempers ego and provides perspective), then relationships and financial freedom that enables experiences with people you care about. He emphasizes that there must be something bigger than yourself — whether you call it God, the universe, or humanity — because trading alone is too narrow a foundation for a meaningful life. The ikigai framework is not abstract philosophy for Ted: it is the decision-making framework that gave him permission to leave the safe, expected dental path for markets.

"Trading for yourself covers three of the four ikigai pillars. Asset management provides the fourth — helping others."

Ted's closing advice for anyone struggling heading into 2026: learn from the greats before you — cutting years of unnecessary failure is not ego, it's efficiency. Mistakes are not verdicts on your ability; they are the curriculum, and the only failure is refusing to extract the lesson. His second piece: focus on the present. Trading is hard because the P&L keeps score in real time, and it is easy to live in the past (regretting losses) or the future (fantasizing about gains). The discipline of coming back to right now — what is the market actually doing, not what you wish it were doing — is the hardest and most valuable mental practice in trading. His closing quote, from Kung Fu Panda: "Yesterday is history, tomorrow is a mystery, today is a gift."

"Yesterday is history, tomorrow is a mystery, today is a gift."

PTJ insists on opening with the podcast's signature closing question: what is the kindest thing anyone has ever done for you? His answer is his earliest memory — age two or three, separated from his mother at the Curb Market in Memphis, an elderly Black gentleman took his hand and walked the aisles until they found her. When his mother tried to give the man $5 — a huge sum in 1957 — he refused: "I know you'd do that for my child, too." That night PTJ added "that man" to his nightly prayer list and, never having learned his name, prayed for him every night for the next ten to twelve years — roughly four to five thousand repetitions. The act itself was simple: a stranger holding a lost child's hand for a few minutes. Its effect compounded across decades.

"I know you'd do that for my child, too."

Fast forward to 1986. PTJ, 32 years old, is lying on his couch watching 60 Minutes when Harry Reasoner interviews Eugene Lang — a businessman who returned to his old Harlem elementary school and, shocked to learn almost no students would go to college, promised on the spot to put every graduating student through. PTJ recognized the photo negative of his own childhood: a Black man had once helped him as a small white boy; now he would help Black children. He called Lang the next day. Lang had already heard from others — they met at his apartment that Tuesday night. PTJ expected Harlem or the Lower East Side; he was assigned Bed-Stuy, then the highest-crime neighborhood in New York City. That began a fourteen-year journey — going over every Tuesday, adopting successive classes, running after-school programs and sports. But passion alone was not enough: about three years in, the kids weren't doing well. He hired tutors. Four years in, one student was killed and several girls became teenage mothers — the challenge was not just academic but social, and learning what it actually takes to beat poverty required failing first.

"I can do that."

The Bed-Stuy failures informed everything PTJ built afterward. When he started the Robin Hood Foundation the year after the 1987 crash, he applied business principles: identify what is actually efficacious, hire the best people, set goals and standards, measure everything, iterate on failure. Those lessons also led him to start one of New York's first charter schools in the late 1990s in Bed-Stuy — right next to the original spot. He named it Excellence deliberately: "I wanted these boys to know that we were going to demand excellence of them." With a dream team of educators and a rigorous pedagogy, within four to five years the school became number one out of 543 elementary schools in New York City. The lesson: one simple act of kindness can have waves of betterment that are multiplicative and transformative in ways that cannot be planned. The elderly man who helped a toddler in 1957 could not have known that four thousand prayers later, his act would lead to a charter school that topped an entire city — and counting.

"You can have all the passion in the world, but you have to have a plan."

The volatility of PTJ's early career made long-term ownership feel laughable. He'd run a $10,000 account to $100,000 and back to zero. A friend — nicknamed "the Mortician" — could take $5,000 to $2 million and then into deficit. Liquidity was survival. Yet every semester since 1982, PTJ guest-lectured at a Virginia investment class, and his number-one lesson was the opposite of his own practice: "You're going to make your money by riding a trend for the very, very longest time." He'd ask who the richest person in the world was — it was always Gates or Buffett — and point out they both got there by holding one thing for decades. Gates owned a company. Buffett owned America. The method differs; the principle is the same. The greatest fortunes are not made by brilliant entry and exit timing but by identifying a trend large enough and durable enough to compound across an entire career. PTJ taught this to students for decades even as he himself generated 100% alpha with near-zero market correlation — living proof that knowing the right answer and being able to execute it are completely different things.

"The greatest fortunes in the world were made by riding a trend for the long run."

At a dinner with four or five of his best risk-takers, PTJ raised the question: are great traders born or made? The consensus was unanimous — approximately 70% born. The defining traits: type A personality, extraordinary curiosity and inquisitiveness, and a deep love of competition and games. By age 21 PTJ was obsessed with chess, backgammon, Parcheesi, Monopoly, gin rummy, bridge — the whole business, he says, is just another form of probability theory. He had never taken a formal probability course but understood it intuitively from years of playing. He still plays bridge constantly. A doctor in Palm Beach — 83 years old, still practicing — gave him the prescription for longevity when PTJ moved there: "You retire, you die." PTJ trades partly to keep his mind sharp, partly because his father lived to 100 and he has plans for his 90s. And he trades to make money he can give away: the pursuit of nobility. He wakes up feeling it is a privilege to compete, and hopes he kills it that day so he can give it away. Work is cognitively protective — the 83-year-old doctor, his father at 100, and now PTJ himself all demonstrate that high cognitive engagement extends the years of sharp functioning.

"I want to make an absolute pot of money so I can give it away. I feel like this is the pursuit of nobility."

Robin Hood was founded the day after the 1987 crash. PTJ had spent months studying the 1929 parallel; when the crash came, he was certain a depression was coming — his worst macro call, but one that launched something more durable than any trade. There were almost no charities focused specifically on fighting poverty, so he started one himself, applying basic business principles: identify what is actually efficacious, hire the best people, measure everything, iterate on failure. The 1990s brought an extraordinary surge of hedge fund participation in giving back — a culture shift he attributes partly to the crash forcing people to find significance beyond wealth accumulation. In the 1980s, everyone wanted association with prestige cultural institutions; after 1987, significance came from helping others. The best part of philanthropy, PTJ says, is the people you meet. Looking forward, the biggest challenge he sees in four to five years is the workless world: AI may replace so much of what people do that work becomes optional, threatening the significance that humans derive from their professional identities. He used to despair about this. He is now cautiously optimistic — athletes find profound meaning in sport, not employment; humans may be adaptable enough to find entirely new sources of significance.

"The best part of philanthropy and charitable giving is the people you meet."

PTJ has maintained for decades that journalism 101 is more valuable than a business school degree and should be mandatory in every college. His father ran a small trade finance paper in Memphis with 2,500 subscribers; PTJ was the copy editor and front page editor, and took journalism classes. What newspaper writing teaches is irreplaceable: the conclusion comes first. Every succeeding paragraph contains the next most important fact, in descending order. The first paragraph answers who, what, where, when, why, and how in two sentences maximum. This structure is a principal component analysis of any event — decomposing complexity into a hierarchy of what matters most, starting at the top. He applies this framework directly to trading: at any moment there are ten important variables, and each one has its day — they rotate in importance. The yen has been undervalued for twenty-four months, but valuation was ignored. The new Japanese prime minister gave it a catalytic moment that pushed valuation from background noise to the number-one actionable factor. "What is the most important thing that is actionable right now?" — that is what trading is. In today's attention economy, clarity is a competitive edge: if you cannot tell your story in fifteen seconds, no one is going to listen.

"If you can't tell your story in 15 seconds, no one's going to listen."

Patrick asks PTJ to apply principal component analysis to a great life. His answer: God, family, friends, and fun — then service. His significance will not come from being a trader. At the end of his life, he will not be thinking about the 1987 crash or Bitcoin; he will be thinking about who he loved and who loved him. He sometimes thinks about his funeral — the songs he's chosen — and is genuinely excited about it, though he wishes he could be there to enjoy it with his family and friends. Professional achievements are great tools that allow you to do more meaningful things, but the things that count are relationships and deeds, not career milestones. PTJ's faith is real but tested, as he thinks most people's faith is. What faith provides is a code by which to live — a set of principles that bring stability, order, and goodness into daily life regardless of the specific doctrine. He prays every night. He cannot say with 100% certainty he's going to heaven, but the code itself — the structure of living by principles larger than yourself — is what matters.

"I'm not going to be thinking about the 87 crash or Bitcoin. I'm going to be thinking about who I loved and who loved me."

Patrick closes by asking what PTJ would tell ambitious, competitive people searching for their path. PTJ's answer, his mother's phrase: "Kill them with kindness." You're going to wake up some days in a terrible mood — something on TV will make you angry, someone will frustrate you. Particularly now, when everyone seems to want to demonize the opposition, you have to realize it doesn't have to be that way. Devote yourself intentionally to finding the kindness and goodness within yourself and transmitting it to someone else that day. Don't worry about yourself — worry about how you're going to brighten someone else's day. With that attitude, you'll always be happy because your happiness is no longer dependent on what happens to you; it's dependent on what you give to others. And like everything else PTJ believes, it's about the reps: commit to one outward act of kindness every day, and through enough repetitions, "I should" becomes "I am." You become an incredibly kind person — it becomes natural, instinctive, organic. Full circle to the opening: the same act of kindness that defined PTJ's earliest memory at the Curb Market in 1957 is the single principle he returns to most often.

"Kill them with kindness."

A single accounting course in a crowded New York public school was all it took — the symmetry of debits and credits clicked with his left-brained, logical mind. He went to Wharton intending to become an accountant, was introduced to finance as a far more interesting field, and switched. The accounting foundation gave him a framework for thinking about business that shaped his entire career.

"Not many people love accounting. But it has a symmetry that a certain kind of mind responds to."

His most important advice to young people considering a career in finance: understand that you cannot be right all the time. Taleb contrasted investing with dentistry — a dentist who learns to fill a cavity correctly will succeed every time, but there is nothing in investing where you can be right every time. If you are right 60% or 70% of the time, you will be among the smartest people in the world. Investing is a great intellectual puzzle with many layers to peel back like an onion, but you have to equip yourself philosophically for the ups and downs of being wrong. And you need an apprenticeship — learning from somebody else who knows how to do it.

"If you’re the kind of person who has to be right all the time, don’t become an investor. If you’re right 60% or 70% of the time, you’ll be the smartest man in the world."

Munger explains why “common sense” is a misnomer — what people mean is uncommon sense, because the standard human condition is ignorance and stupidity. Investors and ordinary people alike do not think clearly about money, sex, or gambling because of widespread “miscognition.” The path to improvement is twofold: eliminate your own miscognitions, and recognise them in others. The Berkshire annual meeting works because shareholders feel they are on the right side of something — Munger calls it a “good cult.”

"When people use the word common sense, what they mean is uncommon sense — because the standard human condition is ignorance and stupidity."

Munger describes his most consequential contribution to Berkshire: persuading Buffett to move beyond Graham-style cigar butt investing. “It was perfectly obvious — he made so much money in the other technique it was hard for him to leave something that worked so well, but it was not going to scale.” The shift: start looking for investment values in great businesses that were temporarily under pressure. “It changed everything for the better — now we could scale up to the big time.” Asked what brand Buffett would buy if he could only own one forty years ago: Gillette. Today? Still Coca-Cola — “one hell of a brand,” and one where Munger’s judgment is far better than on internet companies.

"It was not going to scale. So he started looking for investment values in great businesses that were temporarily under pressure. It changed everything for the better — now we could scale up to the big time."

Munger says he is ashamed of missing Google — Berkshire could see from its own operating companies that Google’s advertising was working way better than other advertising. “We just weren’t paying enough attention.” He has never owned Amazon despite being a huge admirer of Bezos — “it’s always been too complicated and uncertain for my particular temperament.” On the flood of unprofitable tech IPOs: “It’s not my scene. I’m looking for things where I think I can predict what’s going to happen with a high degree of accuracy — and I have no feeling that I can do that with Uber.” The meta-lesson: Munger’s edge is not in analysing every opportunity, but in knowing which ones sit within his circle of competence.

"I’m looking for things where I think I can predict what’s going to happen with a high degree of accuracy — and I have no feeling that I can do that with Uber."

Young people often ask Munger how to become a billionaire. His response is the Mozart story: a 22-year-old tells Mozart he wants to compose symphonies. Mozart says he is too young. The young man protests: “But you were composing at 10 years old.” Mozart replies: “Yes, but I wasn’t running around asking other people how to do it.” Munger’s own philosophy — being very rational and disciplined — will work for anyone, but “floating around” between careers trying to outdo others in their own territory will not work for most people. He credits luck as well as skill: “The combination of luck and skill — that’s what all good records are.” His Army experience reinforced his hatred of bureaucracy and his preference for controlling his own destiny.

"The young man says, “Mozart, I want to start composing symphonies.” Mozart says, “How old are you?” He says, “22.” Mozart says, “You’re too young.” He says, “But you were 10 years old!” Mozart says, “Yes, but I wasn’t running around asking other people how to do it.”"

Munger reveals that he and Buffett say absolutely nothing to each other before sitting down at the annual meeting. “You have no idea what’s gonna happen — that is correct.” The spontaneity is deliberate: if they scripted things, people would not like it. He cannot sign the Giving Pledge because he already transferred more than half his wealth to his children — his late wife would have preferred it that way. On the future of Berkshire: “What worked in one era doesn’t have to be duplicated. I think it was a historical accident — we didn’t do it on purpose, we drifted into it, and when it worked we fanned the flames.” Some later generation will have a different system. “There’s more wise-assery in our meeting than would be appropriate forever — no, I’m the principal wiseass.”

"I think it was a historical accident — we didn’t do it on purpose. We just sort of drifted into it. When it worked, we fanned the flames. But we didn’t create it with any forethought."

Lynch opens by calling it a tragedy that the media has convinced small investors they cannot compete with institutions. The opposite is true: individuals have natural advantages — they can buy what they understand, they are not forced to own 200 stocks, and they face no committee or career risk. Institutions push stocks to absurd lows and highs; individuals can exploit that. The key: if you cannot explain in two minutes why you own a stock, you should not own it. Buying what you do not understand is the fastest route to poor results.

"If you can't explain in two minutes why you own a stock, you shouldn't own it."

Lynch fields the most practical question: if you have $1,000 a year to invest for the long term, where should it go? His answer: an equity mutual fund, consistently dollar-cost averaged, and never sold. "Everybody in the world is a long-term investor until the market goes down." The key is to add during declines, not sell into them. The biggest mistake individual investors make is selling at the bottom and missing the recovery. Lynch jokes that he cannot predict the market — he flips a coin — but over 20 to 30 years, equities have always been the best-performing asset class.

"Everybody in the world is a long-term investor until the market goes down. The key is to add during declines, not sell into them."

Lynch argues the government should be wary of micromanaging corporate governance — mandates about board composition and executive pay distract from the real drivers of business performance. What the public actually needs is better access to information: company financials, insider ownership data, and clear explanations of what the numbers mean. He discusses Fannie Mae and Freddie Mac as examples of the complexity created by government-sponsored enterprises. The broader point: investors need tools to make their own informed decisions, not proxies making decisions for them.

Lynch closes with his most famous story: his daughter's enthusiasm for L'eggs pantyhose from Hanes led him to investigate the company. He discovered a product that was a genuine breakthrough — sold in supermarkets, brilliantly packaged, and flying off the shelves. Hanes became a huge winner for Magellan. The story is not about pantyhose — it is about the principle that consumer behaviour is often the earliest and most reliable leading indicator of a company's prospects. Pay attention to what people are actually buying. The best stock ideas do not come from Wall Street — they come from observing the real world.

"The best stock ideas don't come from Wall Street — they come from observing the real world. My daughter tipped me off to one of the best investments I ever made."

Tangen's final question draws advice for the 10,000 young people watching. Druckenmiller: if you're in it for the money, go elsewhere — you can't outwork people who genuinely love the game and losing is miserable if you don't have passion for it. Skip the MBA and find a mentor instead; relentlessly pursue them until they take you in. Be honest about your strengths: being a great analyst doesn't mean you're built to be a portfolio manager. He's seen lives ruined by people who weren't wired for pulling the trigger.

"If they're going in it for the money, they should go elsewhere. There's too many people in the business like me that just love the game. If I was a young person I would not get an MBA, I'd go find a mentor. I've seen it ruin people's lives who weren't built for trigger pulling."

Schatzker asks whether an Elizabeth Warren presidency would really be that bad. Druckenmiller says it would be great for his business — his fund has a negative correlation to the S&P 500 and thrives in bear markets — but not good for America. He then delivers a data-driven defense of capitalism. Poverty in the US has fallen from 26% decades ago to 13% today — an all-time low. After accounting for government transfers, the bottom quintile has seen the same percentage income gains as the top quintile. The anti-capitalist narrative doesn't match the facts. Both parties are undermining markets: Trump's tariff regime is effectively a Politburo picking winners and losers, while negative rates globally have destroyed the hurdle rate that lets markets allocate capital properly. Taking from billionaires doesn't give to the poor — 'that's not the way it works. It's not a zero-sum game.'

"I think we need more capitalism, not less. When you have a president who puts hundreds of billions in tariffs and then picks and chooses individual economic actors who pay and who don't — it might as well be the Politburo. That's like Trump's trade thing — a zero-sum game. If China loses we win. No — you can both lose."

Pressed by his parents' separation and the urgency of paying his own tuition, Steven immersed himself in trading for 10 hours a day, seven days a week, for six months — including listening to trading audiobooks while driving. Rather than jumping in with real money, he built a simulation based on three factors: average reward per trade, annual frequency, and average winning percentage. The simulation projected clear profitability, giving him the confidence to go live. He turned $27,000 into $900,000 in his first year — roughly 50% of what the simulation predicted, but enough to validate the approach.

"I did a simulation for myself with the average reward per trade and the frequency how many times it happened per year and the average winning percentage. With those three factors I was able to generate a simulated gain for myself and it was pretty obvious."

Instead of reading success stories, Steven studied the verified losses of other traders on performance-tracking platforms. He would replay their losing trades on the chart, try to guess their entries and exits, and reconstruct what their mindset must have been as the trade went against them. This approach came directly from his engineering background: when you want to make a car work, you test it a thousand times and focus exclusively on what broke — not on what worked. He read trading books not for their strategies, but to understand the psychological journey of the author: how they felt after wins, what mistakes they repeated, and how they built mental systems to counter their own impulses.

"I don't look at other people's wins. I only look at their losses and I want to go in there, find out, try to guess their entries and exit and try to replay that day and how their mindset actually was."

Citing statistics from brokerage-owner friends, Steven describes the brutal distribution: of 100 traders, 92 will fail outright, 4 will break even, 2 will be barely profitable, 1 will make around $100K, and 1 person will reach $10M+. The common thread among the top performers: they genuinely love trading — not the money trading can produce. Most people enter the industry because they see the potential returns, not because they love the craft. Steven argues that you cannot sustain the grueling effort required for years without a genuine passion for the game itself. The people who last are the ones who would trade even if the money were smaller. Trading is competitive at its core — elite performers treat it as a competition against their own potential, not as a lottery ticket.

"A lot of people go into this industry because they see how much money they can make. Now, I actually love trading. I just love being there and love being competitive."

Steven records his screen during trades and reviews the footage afterward — the same way professional athletes watch game tape. He analyzes his entries, his sizing decisions, and moments where his execution deviated from what his system dictated. Using the QBT trade as an example: he made $1.2 million but, upon review, concluded he could have made $4-5 million with better entry sizing. On RGTI, he made $1 million when $3 million was achievable. The review surfaces specific execution errors — being too concentrated on a single day for a multi-day runner, not sizing in gradually enough, hesitation at momentum shifts — that become the optimization targets for the next month. The dollar gap between 'good enough' and optimal execution is the truest measure of a trader's ceiling.

"I made $1.2 million on QBT. In terms of sizing, in terms of execution, I could've done a lot better. That trade could potentially have made up to $4 to $5 million."

Steven typically wakes up at 4:00 AM Eastern and gives himself just 10-15 minutes to assess the market and execute — a routine built on years of preparation that makes rapid decision-making possible. The host makes a pointed observation: many aspiring traders consume endless content about elite performers but never replicate the actual behaviors — the inconvenient hours, the screen recording, the statistical work, the trade reviews. They watch chart breakdowns and lifestyle videos instead of doing the grinding analytical work that produces results. Steven agrees and puts it simply: 'If you really want to be a trader, you can be a good trader. If you don't have the dedication, you won't be. It's very simple.' The gap between watching a successful trader and becoming one is entirely filled by the unglamorous work that happens off-camera.

"If you really want to be a trader, you can be a good trader. If you don't have the dedication, you won't be. It's very simple."

In the closing quickfire segment, Steven is asked who he would meet if he could meet anyone dead or alive: Leonardo da Vinci — not for his art, but to understand the mindset that generated such a breadth of original ideas, many of which Steven suspects came from random moments of inspiration while walking or driving, the same way his own trading ideas emerge. Asked for his personal quote, he offers his own: 'The money you gambled and won — doesn't matter how long — you will lose in the future, and more.' It encapsulates his entire philosophy: process over luck, discipline over impulse, and the certainty that unearned gains are just losses deferred. The ultimate test of a trader is not how much they make in a good year, but whether they can keep what they made across the full cycle.

"The money you gambled and won — doesn't matter how long — you will lose in the future and more."

You don't need a computer, calculus, or cosine to invest successfully. If you can add 8 and 8 and get fairly close to 16, you have all the math you need. The key questions are simple: how much debt, how much cash, how much are they losing per quarter? If you made it through fifth-grade math, you can handle stock analysis. Lynch illustrates with a football player who asked 'Does X always equal 7?' and never made it academically — the market doesn't need complex formulas.

"If you can add eight and eight and get fairly close to 16, that's all you need."

Chuck Akre started as a pre-med student with no finance background — a clean canvas. When he entered the brokerage business in the late 1960s, he set out to solve what he calls the investment puzzle: what makes a great investor, and how do you identify a great investment? He read voraciously — John Train's The Money Masters profiled Warren Buffett and outlined the characteristics of great investors. Thomas Phelps' 100 to 1 in the Stock Market documented public companies that returned 100 times an investor's money, framing the central role of compound return. Business biography became a lifelong habit because it reveals how people behave — and behavior shapes investment outcomes.

"I started out as what I refer to as a clean canvas. I was a pre-med student. I had not had a single course in finance, accounting, economics, or anything else."

Chuck asks: would you rather have $750,000, or a penny that doubles every day for 30 days? The penny becomes $10.8 million. Warren Buffett has said about compounding, either you get it or you do not. Chuck wrote Buffett a letter disagreeing — his own experience was that he did not get compounding until he experienced it firsthand. He has never been able to learn from other people's mistakes; he had to make his own. This is why the investment process, not any single insight, is what compounds over a career.

"My experience was, I didn't get it until I experienced it."

Chuck closes his monologue with perspective drawn from Einstein and Peter Lynch. Einstein: make everything as simple as possible, but no simpler. Imagination is more important than knowledge. The only source of knowledge is experience. Peter Lynch's edge was observing the real world — a new store with a full parking lot — rather than relying on Wall Street research. Chuck's firm works from Middleburg, Virginia, a town with one traffic light, deliberately — the same reason Buffett returned to Omaha. Being surrounded by hundreds of bright, ambitious people in New York would be intellectually stimulating but would distract from clear thinking. And the final point: there is no single correct way to invest. This is just what works for them.

"Make things as simple as possible, but no simpler."

The host opens Q&A by asking about Chuck's views on money and family. Chuck and his wife focus their philanthropy on land conservation, healthcare, education, and shelter. He believes strongly in letting children have their own struggles — his own financial near-misses, where assets barely exceeded liabilities, were formative experiences that made him a better investor and person. On books: he recommends Dear Chairman, about activist investors and the power of shareholder letters; Thomas Phelps' 100 to 1 in the Stock Market, the original study of businesses that compound at extraordinary rates; and Chris Mayer's 100 Baggers, a modern update on the same theme. The common thread across all three: find the rare businesses that can sustain extraordinary compounding over long periods.

"Struggle in my own life has been very valuable."

Rochon introduces himself as an engineer with a passion for art who founded Giverny Capital. Peter Lynch's insight that "investing in stocks is an art more than science" shapes his entire approach. Scientific training brings advantages — comfort with numbers, avoiding financial dogma — but also disadvantages: looking only at past data, struggling with judgment calls, and needing to be precisely right when investing requires accepting you will be wrong 30–40% of the time and still succeed. He warns against lazy gut feelings masquerading as art: having a great feeling about a stock is not art, it is laziness.

"Investing is about being imprecise and also accepting that you will be wrong 30%, 35%, 40% of the time. And that's a good ratio."

For those starting out, Rochon says the quality behind patience is humility: accepting you will make mistakes and that there is always more to learn. Warren Buffett's greatest quality is not intelligence — it is his humility. At 87 years old, he is still striving to learn every day. For individual investors, the practical advice is to stay within your circle of competence: there are thousands of companies, and trying to value all of them is playing a hard game. Being very selective and only pursuing businesses you truly understand is playing an easier game. Rochon invokes the Ted Williams analogy — waiting for the perfect pitch in your sweet spot. In investing, "there's no called strike" — you have the luxury of infinite patience. That is the most beautiful thing about this business.

"Warren Buffett's greatest quality is not necessarily intelligence — it's the humility. He's 87 years old, and he's still striving for new learning every day."

Each year, Giverny Capital's annual letter awards bronze, silver, and gold medals to their most costly mistakes. Most are errors of omission — companies like Starbucks that fit every criterion but were not bought, sometimes for an overly simplistic reason, costing 10,000% gains over 25 years. Valeant was a commission error: Rochon had confidence in management but overlooked the excessive debt that violated their usual standards. They made money on the trade but still classify it as a mistake because the selection process was flawed. The distinction matters: it is only a mistake if the company was within your circle of competence and you failed to act, or you thought it was within your circle and it was not. Missing a 100-bagger you genuinely did not understand is not a mistake — it is staying within your boundaries.

"When you look at your mistakes, you want to be very objective and say, well, this is a mistake for those reasons. But some stocks that I didn't purchase that went up 100 times, but I really didn't understand — that's not really a mistake."

Icahn dismisses Larry Fink's claim that BlackRock engages privately with portfolio companies. The conflict is structural: companies give BlackRock their 401(k) business, so why would BlackRock vote against management? He has never seen them vote for his proposals. To a student asking about breaking into the industry, Icahn offers a sober warning: the public will become disillusioned in the coming years as bubbles in high-yield bonds burst and the too-big-to-fail safety net is gone. But for those willing to take genuine risk, the capitalist system still rewards it enormously — hedge fund managers take no personal risk yet get paid millions. He ends with his Apple thesis: his son introduced him to it, and he bought at 8–9× earnings, making it a classic Graham and Dodd value play despite being a tech company. The real skill is not picking stocks — it is finding companies you understand, nurturing them, and having the patience to let value compound.

"If you want to make a lot of money, take risks — that's what a capitalistic system is about. But don't get paid all this money for managing money. I'd like you to show me somebody that really knows how to pick stocks. I never met anybody that can."

Ariel answers the opening question — what is the one thing people should focus on to replicate his results. Trading is not get-rich-quick: think of it as a 30-to-40-year career where, if you compound properly, the last five years make more money than the first thirty. Never stop studying people with more longevity — Peter Brandt, Jason Shapiro, Linda Raschke, Lance Breitstein — and understand what gives them their edge. Adaptability matters because the environment is always changing. The 2020–21 bull market was atypical; what worked then taught bad habits that had to be broken in 2022.

"I always tell people if you have the long game on trading — if you think about trading as like a 30 or 40 year career... the most amount of money you’re ever going to make is the last five-year bracket of your career because if you do compounding properly, the last five years will make way more money than almost the first 30 or 35 years of your career."

Ariel came home from his prison sentence on April 1, 2020, and started trading full-time on June 1 with a $30,000 account. He learned the absolute basics from scratch — what VWAP was, how to place market and limit orders, how to use a gap scanner. He tread water for months (June through September), then found successful day traders on Discord. While the top traders were making $20,000–30,000 a day, their friends were making a more relatable $800–900 a day, so he latched onto what they were doing. The breakthrough came from sympathy plays — buying related stocks when a leader made a massive move — combined with aggressive scalping of 10–15 trades per day. He compounded from $1,000 to $3,500 daily, turning a $60,000–90,000 account into a growing base. His nothing-to-lose mentality — having just been sleeping in prison — fueled the aggression that turned $30K into $3.5 million in 16 months.

"Mentality wise, I had nothing to lose. Just months earlier, my situation in life was I was sleeping in prison. So I didn’t have anything to lose — this was either going to be a career or I was going to find out quickly that it wasn’t going to be. And within 16 months I found out that you could change your life and flip it upside down pretty quickly."

Ariel’s early P&L was comically small — $3, $5, −$8, −$10 days — because he wasn’t risking anything, just figuring out the platform. There is no single book that tells a new trader how to do everything: how to add a moving average to a chart, how to find gappers, how to read level 2. You either ask people or figure it out yourself. Once he committed, he had no other job and still hasn’t had one since. He put in 10–12 hours a day — at his desk 90 minutes before the open, an hour or two after the close, sometimes at night — buying courses, joining chat rooms, studying successful traders on FinTwit. The core discipline was simple: focused on not losing money, buying dips, cutting quickly if wrong, and compounding the frequency of small wins. He got kicked off his broker for exploiting midpoint fills with too many market orders.

"My P&L some days was like three bucks, five bucks, lose eight, lose 10 because I wasn’t trying to risk anything. I was just trying to figure out what the heck was going on in the markets. What is VWAP? How do I even put a moving average on my chart?"

Watching Kristjan Kullamägi make $10 million across just 10 swing positions planted the seed — daily chart breakouts, not scalping. Getting kicked off his broker forced change; the new broker didn’t provide midpoint fills, breaking the scalping edge. Ariel didn’t bother learning another way until 2022 when the market environment shifted and the dip-buying strategy that had worked flawlessly started producing losses. The critical realization: the strategy didn’t stop working — the environment stopped being conducive to it. When the market returned to an uptrend, the same strategy would work again. This was the catalyst that pushed him to develop a swing trading approach that could adapt across market regimes.

"It’s really not that what I was doing stopped working. It’s just the environment wasn’t being conducive to that kind of trading anymore. When the market turns up, that kind of trading works again."

Ariel sold his truck and watch to fund his account to the $25,000 PDT minimum. He made $90,000 from June to December 2020, with the bulk in the last two and a half months. He moved back home with family — his mom became his biggest supporter once she saw the results: "Wow, son, you made $90,000 this year and you started halfway through." Coming out of prison, there was initial skepticism — family expected him to get a job — but he picked up trading quickly enough that they got off his back. By 2021, he was posting $200,000, $500,000, and $800,000 months. "Son, I don’t know what you’re doing, but keep it going." The key enabler was a support system that didn’t force him into a 9-to-5 before he could prove himself.

"Thank God for an awesome mom who believed in me and then started to see like, "Wow, son, you made $90,000 this year and you started halfway through the year.""

Ariel found his first mentor on StockTwits by searching for charts that were actually moving. He joined a Discord where a trader was doing $20,000–40,000 a day — but his best friend was doing smaller, more relatable amounts. He had already heard of Mark Minervini and Stan Weinstein, and knew the Market Wizards series existed, so he understood there was a canon of proven methodologies. Learning through practice became the operating principle: hearing a concept is like reading a recipe — "just because somebody said it doesn’t mean your meal is going to turn out really good. You have to go get into the kitchen, slice the steak, get the seasonings together, and do it yourself until you can make a really good meal." Trial and error in real time is the only path to real competence.

"Just because somebody said it, I now have to go apply it in real time. So applying that in real time became very important. And that’s how you learn — through practice."

Ariel started swing trading with a basic setup: move up, move sideways, surf the moving averages, breakout. But not every chart is picture-perfect, so as he gained experience he added specific setups to his playbook — undercut and rally from Gil Morales, the VCP from Mark Minervini, the flat base breakout from Pat Walker. Market environment and the stock’s industry group determine which setups work and when. For short selling, his trick is simple: put a minus sign in front of the ticker to flip the chart upside down — if it looks bullish inverted, you short it. The philosophy: "I’m just a trader and that’s just a setup. In real time, I’m just a risk manager." Price is the only thing that pays — not news, not earnings, not CNBC. Master one setup, go to the next, and play both sides of the market.

"I’m just a trader and that’s just a setup. And in real time, I’m just a risk manager. Nothing else matters — not news, not what Trump said, not what CNBC is saying, not what the earnings are saying. None of it matters. Price is the only thing that’s going to pay you."

Day trading is extremely difficult — you need to come up with a new, bright idea every single day in a market that may not be offering any good setups. Swing trading flips this: your homework is done at night when the market is closed. Ariel’s scanning process starts on FinViz with industry group relative strength over one, three, and six months to identify where institutional money is flowing. Then he filters for stocks above the 200-day and 50-day moving averages, adds fundamental criteria (good earnings and sales quarter-over-quarter), and checks which individual names are holding up best. "Now your universe of stocks just went from everything to the best stocks in the best groups in the market." Limit orders with stops at prior day lows mean a trade can trigger while you’re at a 9-to-5 job. Even your aunt "can slow down in the evening with a glass of wine and say, ‘What are the best groups? Which ones have good earnings and sales?’"

"I don’t think I’m some kind of an anomaly... Swing trading is one of those things where your homework is done at night when the market is closed. I know exactly where I want to be with the four, five or six names on watch for tomorrow, the night before."

The flashy image of trading — get-rich-quick, 2,000% single-day gains, zero-DTE options — is the wrong model. "If you just compound your money properly, the last five years will make you more money than the first 25 years." Ariel still buys Lance Breitstein’s course even though he already trades well, because there is always something to learn from traders with different edges. A simple thing he picked up from Lance changed how he thinks about an aspect of his process. The final message: take care of the mind and body, treat trading as a long career, and never stop being a student of the game.

"If you just compound your money properly, the last five years will make you more money than the first 25 years."

The book "The Most Important Thing" came from Marks repeatedly telling clients different things were "the most important thing." Real investment philosophy isn't adopted from a book or a teacher—it emerges from the collision of what you're taught and what lived experience tells you about those lessons. No formulas work in investing; the goal is to teach people how to think, not what to think.

"I wasn't born with an investment philosophy... Your philosophy will come from the combination of what you have been taught by your teachers and parents and your experiences and what your experiences tell you about the things you were taught."

Taleb's "Fooled by Randomness" taught Marks that randomness pervades investing. In physics, a good design reliably produces a working bridge; in investing, a good decision can fail and a bad decision can work purely because of luck. The investment business is full of people who were "right for the wrong reason"—bailed out by events despite a flawed process. You cannot judge a decision by its outcome.

"The investment business is full of people who are, quote, right for the wrong reason. Made a bad decision, it didn't work out the way they thought, but they got lucky."

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

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

Buffett once said he could guarantee 50% annual returns running small sums. The small investor has a genuine edge—as long as they're willing to stay small. But success brings more money, more money degrades performance, and the fees from managing more assets create a powerful incentive to let the process become unchecked. You cannot do destructive testing with client capital—you must stop before you hit the wall.

"The person who has a big brain, and a little money, and a lot of time, and exceptional insight can find great bargains. But that's a pretty daunting list."