Elite Trader: Managing $25 Million at Just 25 Years Old - Ted Zhang

COVID crash, SPACs, and the asymmetric insight that started everything

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.

How putting yourself out there got a 22-year-old into a hedge fund

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.

The Nicola trade: how a $76 exit out of an $18 SPAC entry became the first big win

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.

When the SPACs edge vanished: a 50% drawdown and the revenge trading trap

Heading into February 2021, the Fed liquidity that had fueled SPACs dried up overnight and the entire edge vanished in weeks. Ted drew down 50-60% from his peak. He retained perspective because he was still up from his starting point, but the real lesson was about the psychology of losing. The host asks what the inner dialogue was during a 50% drawdown. Ted explains the worst possible response is to size up and force trades — revenge trading turns a manageable loss into a catastrophe. A forced break from trading for dental admissions prep turned out to be exactly the psychological reset he needed to approach markets fresh rather than emotionally reactive.

From SPACs intuition to CANSLIM: building a real system from first principles

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.

Why O'Neil's research back to 1950 still holds: supply, demand, and human psychology don't change

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.

Ikigai and the Mastery exercise: why Ted chose trading over dental school

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.

Managing other people's money: client emotions, SEC registration, and earning trust

Managing external capital adds a second emotional management challenge alongside the trading itself: client fear during drawdowns, client greed asking for more exposure during rallies. River Asset Management is SEC-registered with clients primarily near or in retirement. Ted and Connor did not receive client capital immediately — their bosses took a page from William O'Neil's playbook, hiring portfolio managers to trade firm capital first. Ted and Connor spent six months on tracking accounts, built a demonstrable track record, then started with their bosses' personal money and Ted's parents' money before outside clients came in. This gradual trust-building process is also a structural protection: it means the people deploying capital have real evidence of execution quality.

Active drawdown prevention: River's mission and why buy-and-hold fails retirees

Ted contrasts River's approach with traditional advisors who put clients in mutual funds with quarterly rebalancing and stay invested through everything. River's value proposition: timing the markets is possible by getting into cash when markets weaken and preventing those devastating 30-50% drawdowns. This matters enormously for clients heading into retirement who need that nest egg to live off of. The compounding math: if you prevent the drawdowns, you compound from a higher capital base when the next bull market begins. A 50% drawdown requires a 100% return just to break even — the asymmetry of losses means avoiding large drawdowns compounds wealth more effectively than chasing higher returns.

Grow vs. Turbo: portfolio structure, allocation, and the honesty about a young track record

River runs two portfolios: Grow Protection (designed to match S&P returns with dramatically lower drawdowns — max 13-14% in the COVID crash and 2022 inflation bear vs. the market's 30-40%) and Turboction (Ted and Connor's higher-beta portfolio targeting market outperformance with 5-12.5% position sizing). Clients are allocated based on age and risk tolerance — an 80-year-old might be 70-80% in Grow, while younger clients comfortable with more risk go heavier in Turbo. Ted is candid that Turboction's track record (launched early 2024) is too young to be meaningful — he won't consider it proven until it survives a real multi-year bear market.

Time horizon, sector agnosticism, and the momentum stock selection discipline

Ted defines their style as intermediate-term trend following — average hold time of weeks to multiple months, trying to catch the swing move, rarely achieving long-term capital gains. They are sector-agnostic — trade anything with momentum — but the portfolio naturally tilts toward growth and technology because those are where the biggest moves happen. The key risk management constraint: they cannot buy extended stocks and must wait for pullbacks or bases to build positions. Forcing discipline on entry keeps them out of the FOMO trades that cause the most damage in high-beta names. Ted explains they use position sizing and hard stops to manage the volatility that comes with aggressive growth stocks.

AI bubble thesis: recognizing euphoria without calling the top too early

Ted describes his late-2024 market read: signs of a bubble exist — new participants, extended valuations, revolutionary technology narrative, quantum names up 100-200% in weeks — but bubbles can last longer than expected and require a catalyst to pop, historically a Fed tightening cycle. He notes the gap between AI hype and reality: current AI cannot replace a human knowledge worker, and humanoid robots are nowhere near replacing humans at scale. But he refuses to make predictions: "I'm not an absolute expert in AI." The practical point: identifying a bubble is not a sell signal — bubbles can last years, and the final phase often produces the largest and fastest gains.

Nvidia's bearish engulfing: the distribution signal that warned the party was ending

Ted points to Nvidia's post-earnings price action as the distribution warning: the stock gapped up on extraordinary news (Blackwell chips, revenue beat), the open was the high with no follow-through all day, and it closed at the lows — a bearish engulfing candle through multiple moving averages. This is one of the most reliable distribution signals: exceptional news with no price follow-through means every seller who wanted to distribute into strength has done so. The market had been building toward this: quantum computing names up 100-200% in weeks, Palantir's rapid ascent, everything going vertical. When the leader of the whole move shows that pattern, it is a flashing warning about the broader environment.

Reading market health: the three-layer trend gauge and what watchlist density tells you

Ted runs a structured market assessment across three layers: short-term trend (21 EMA), medium-term trend (50-day), and long-term trend (200-day). The best environment has all three stacked in order with price above the 21 and watchlists overflowing with setups. The worst environment has the 8 and 21 crossing below the 50 — which happened for the first time in 136 sessions during the late-November 2024 recording. He also reads market leaders and watchlist density as a qualitative confirmation: when everyone is frustrated and focused on one name, the environment is failing. When setups are everywhere and no one is complaining, it is game-on.

Exit discipline: ATR extensions, climax top signals, and how to trail winners

Ted's exit framework operates in two modes. Selling into strength: trim when price reaches 3-4 ATRs above the 21 EMA, or 8-10 ATRs above the 50-day moving average. Climax top signals that accelerate trimming include the stock heading toward 12 o'clock trajectory, multiple gap-ups in a row, 7-8 green days out of 10, and the largest daily volume ever after an extended move — institutional capitulation to the upside, not accumulation. Trailing rule: exit most of the position on a close below the 21 EMA; trail a smaller remaining piece on the 50-day or 10-week for the highest-conviction fundamental names. The combination captures both the bulk of the move and the occasional multi-month runner.

Price targets, measured moves, and why symmetry shows you where to take profits

Ted explains how he sets price expectations using the concept of market symmetry: the first leg of a move and the second leg are often similar in magnitude, separated by a base. You can use that to set reasonable targets for taking partial profits into strength — not because the target must hit, but because the probabilities favor a pullback at that measured-move zone, and trimming smoothes the equity curve. He contrasts this with crypto traders who set price targets and sell completely, then watch the asset go another 10x. River always trails a piece because you never know how far a stock will run. The move in symmetry is a guide, not a hard exit — use it to manage risk, not to cap returns.

The EMA stack, studying market history, and why the 200-day is the last line of defense

Ted emphasizes the importance of studying market history — looking at what happened in prior cycles, prior corrections, prior bear markets — because the same patterns repeat. The moving average stack (8, 21, 50, 200) encodes trend health in a single visual, and the 200-day is the final decider: below it, you do not want to be long. Ted also discusses measured-move expectations and how the concept of symmetry (first leg = second leg) helps set reasonable profit-taking zones. The discipline of always reviewing history before forming an opinion prevents the recency bias that causes traders to believe this time is different — it almost never is.

Team trading, blind spots, and how to build a trading pod from scratch

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.

No shortcuts: the four layers of trading mastery and why charting is only layer one

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.

Progressive exposure and why identifying the market environment is the most valuable skill

Layer four — market environment identification — is the hardest to develop and the most valuable. Ted explains: not all strategies work 100% of the time, but there is a period when your strategy is in favor — that is when you push the gas and do most of your trading. Layer three, progressive exposure, is the mechanical implementation: automatically increasing size and position count when feedback is good, automatically reducing when it turns negative. The host asks what process Ted uses to identify when conditions favor his system. The key is learning to read the market's posture: is the trend healthy? Are leaders acting well? Are watchlists full? These qualitative signals, combined with the moving average stack, tell you whether to grow assets or protect.

Identifying when your edge is in favor: RS lines, bases, and portfolio feedback

For Ted's intermediate-term trend-following system, the optimal entry conditions arrive after a multi-week pullback or bare market correction: stocks building symmetrical bases, RS lines near all-time highs, higher lows, right side of the base developing. The EMA stack (21 above 50 above 200, all rising) with abundant fresh breakouts signals the best entry windows. Portfolio feedback is the real-time confirmation: if you are not struggling much, your edge is in favor. In November 2024, setups are near non-existent — stocks that fell 40-50% need months of institutional accumulation to carve proper bases before new uptrends can develop. Ted will wait for base completion and the EMA stack to realign before getting aggressive again.

Specialize, don't diversify strategies: why consistent inputs are the foundation of learning

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, Kullamägi, 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.

River's downside-protection mission and what stage 4 downtrends look like in practice

Don, River's co-founder, built the firm after watching his father-in-law suffer a 50% drawdown at Morgan Stanley while battling cancer during the 2000 dot-com crash. That experience drove the firm's core value proposition: match S&P returns with dramatically lower drawdowns by using active trend-following to move toward cash when markets deteriorate. MSTR and Bitcoin in late 2024 illustrate stage 4 downtrends in real time — both are below a declining 40-week and 200-day moving average with no basing structure. Ted will look for stabilization and EMA recapture before considering re-entry; he is not a mean-reversion trader and will not buy the dip into a declining trend.

Base patterns: symmetry, volume signatures, and what makes a breakout worth taking

The best breakouts come from symmetrical bases: the left and right sides roughly mirror each other, volatility contracts progressively from left to right (a volatility contraction pattern), and up-volume weeks exceed down-volume weeks. Specific high-probability signals include tight multi-week price clusters with dried-up volume (sellers disappearing), an undercut-and-reclaim of the base lows (weak hands fully shaken out), and a breakout on heavy volume ideally accompanied by an earnings or catalyst event. An episodic pivot — a gap on a news catalyst — coinciding with a base breakout is the highest-probability setup Ted has identified.

Super stock criteria and the Ted-Connor entry-tactics split

River's evolved CANSLIM checklist — internally called 'super stock criteria' or 'magic elixir' — screens for: high ADR and ATR (the stock must actually move), linear price action rather than erratic volatility, prior history of large sustained moves, big-volume ignition, and a hot theme or catalyst. Earnings and revenue growth are ideal but not required (Bitcoin has no earnings). Ted enters primarily on breakouts and episodic pivots — strength-based entries. Connor builds positions during pullbacks against rising moving averages. Their complementary entry styles mean the portfolio reaches full size more efficiently than either approach alone, and their genuine disagreements on specific trades serve as a quality filter.

Entry tactics: breakouts vs. pullbacks and why having both approaches builds better positions

Ted expands on the Ted-Connor entry split. Ted enters at breakouts and on episodic pivots (gaps on catalysts) — buying strength. Connor builds positions during pullbacks against rising moving averages — buying weakness within an uptrend. Their complementary styles produce genuine disagreements that serve as a quality filter: if both see the same setup from different angles and still agree, the conviction is higher. If they disagree, the conflict surfaces considerations neither would have caught alone. The result is that the portfolio reaches full size across a range of entry points rather than concentrating risk at a single price, which naturally improves the average entry and reduces the emotional weight of any single fill.

How Ted and Connor both wound up at River: independent paths, same destination

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.

Managing negativity, loss, and trading through personal adversity

The host asks how Ted deals with negativity and mental spirals — something many traders struggle with. Ted explains that negative thoughts can spiral very easily, and the key is self-awareness: feeling your emotions rather than suppressing them, and focusing on what you can control. This was tested in an extreme way when his father was diagnosed with a terminal illness and passed away in mid-2024. Ted's father was the one who got him into investing — he watched CNBC together, his father opened his first brokerage account. During the illness, Connor covered the daily content and watchlist while Ted managed his priorities. Having a trading partner during personal adversity is not a luxury — it is structural redundancy that keeps the portfolio functioning when life intervenes.

Daily routine: meditation, stoicism, journaling, and why self-awareness compounds

Ted's morning stack — reading the Daily Stoic, meditating for 12-15 minutes (transcendental or mindfulness-based), and journaling (gratitude, daily obstacles, most important task) — has been in place nearly every day for four years. He traces it to a college meditation class and to Ray Dalio's description of transcendental meditation as a core source of his own equanimity and self-awareness. The practices compound: better self-awareness reduces the chance that trading frustration bleeds into personal life, and reduces the chance that personal difficulties bleed back into trading. His father's diagnosis and death in mid-2024 tested all of it in a sustained way.

Atomic Habits and identity-based change: the framework, and how it holds up under real adversity

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.

Surviving drawdowns: how experience changes the emotional weight of losing periods

Early in Ted's career, a drawdown felt like the end — "I'm skillless, I can never recover." After multiple market cycles (2022 bear, various corrections), a losing period now prompts a different inner dialogue: review the big winners to confirm the ability is intact, and remind yourself that markets are cyclical — every bad period eventually gives birth to a good one. The structural risk is still sizing up out of frustration, which turns a manageable drawdown into a catastrophic one. During the months around his father's illness, Ted got chopped up more than usual, but the discipline of cutting losses meant the damage was contained. The minimum viable discipline during a personally difficult period is simply cutting losses quickly and not holding large losers.

TraderLion internship, Weinstein stage analysis, and how mentors compress the learning curve

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.

Identifying themes early: concentric circles, sector rotation, and following smart money

Druckenmiller's concentric-circle model of themes — each major technological catalyst radiating outward to adjacent layers — helped Ted understand how to ride the full AI opportunity: ChatGPT as the inner circle, then GPU chips and networking, then power generation, then data center infrastructure, each a distinct investment theme with a different timing. Druckenmiller identified AI in 2020 by tracking where Stanford and MIT engineers were moving — from blockchain to AI. Ted uses sector ETF return rankings (daily, weekly, monthly), AI-assisted news synthesis for watchlist stocks, and attention to what the highest-credibility thinkers in each technology space are publicly saying.

Weinstein stage analysis: the four stages, how to use them, and where traders lose money

Ted explains his application of Weinstein's stage analysis framework using the weekly chart and four simple moving averages (10, 20, 30, 40-week SMAs). Stage 1: price choppy around the MAs after a downtrend, lines flat or slowly turning — the base-building phase where institutions accumulate quietly. Stage 2: 10-week stacked above 20, above 30, above 40 — all rising with slopes aligned, price above the 10-week — this is the uptrend, and the only stage where you want to be long. Stage 3: lines start flattening, price oscillating across them — distribution, where institutions are selling into strength. Stage 4: price below a declining stack — the downtrend where you short or stay completely out. The full cycle typically takes 2-4 years. Stages 1 and 3 are where traders lose money: Stage 1 can last years, chopping up anyone who tries to anticipate the breakout; Stage 3 looks tempting because the stock is still near highs, but institutional distribution means every rally is being sold. The operating rule: do not trade Stage 1, do not trade Stage 3. Long only in Stage 2, short or cash in Stage 4. Ted emphasizes that these stages apply to every liquid market, from stocks to crypto to indexes.

Why timeless methods outlast temporary edges: market cycles, books, and building on the greats

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.

Ikigai, success, and what actually matters beyond the P&L

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.

Final advice for struggling traders: learn from the greats, see mistakes as curriculum, focus on the present

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."