Breakout

When the 2021 market turned choppy and breakouts started failing, Mark didn't change his strategy — he simply assessed what the upside was giving him and tightened his stops and profit targets to match. He can't control the upside but he can control the downside and where he sells. This leads into his core mindset: everything is preparation. His cycle — plan, trade, evaluate, study what went wrong, replan — is something he has maintained for 38 years. Very few traders do consistent post-analysis; Mark still evaluates every trade to know the truth about his trading at all times.

When screening growth stocks, Mark focuses on three things: earnings, sales, and profit margins. There are many ways to slice and dice those numbers — breakout years, acceleration, margin trends — covered in detail in his first book, but the engine behind every growth stock comes down to those three. Revenue growth, profit margins, and the conversion of both into earnings are what drive a growth stock higher.

Mark shows CFLT, a stock he bought that day. It broke out, pulled back immediately (an 'early day reversal' and squat), then stabilized and closed strong. Mark watches the first 3-10 days after a breakout for confirmations or violations: confirmations tell you the train is on schedule — hold for a bigger move. Violations are abnormal action signaling you should reduce or exit. These signals are detailed in Think and Trade Like a Champion. The volume, the close, the pattern of higher lows — each day gives you data. On the pivot tightness: Mark likes the right side of the base to be in single-digit percentages, though late-stage market conditions with heavy retail involvement sometimes require cutting a little slack.

Mark shows four breakouts that failed and the specific violations that gave early warning. Burlington (BURL): perfect tight base, good breakout, strong volume — but over the first 6 days, only 2 up days and 4 lower lows with rising volume. Activision (ATVI): clean breakout, then day 2 sold off on higher volume — low volume out, high volume in, a classic distribution pattern. ZLAB: tried to buy the pullback, immediately got 4-5 lower lows with closes on the low and zero follow-through. SNAP: Mark originally bought much earlier, sold too early into earnings, tried again, got stopped out on the outside day — then the big earnings collapse that surprised everyone. The thread connecting all four: the violations were visible in the first week of price action well before the major drops.

When the host asks about increasing exposure after a market correction, Mark cautions against anchoring trading decisions to indexes. The stocks come first. In 1995 — his best year, up over 400% — he did not even start trading until April, well after the market had already moved. In 1990-91, he bought US Surgical and Amgen breaking out around the October lows; the market did not take off until January 15th after the Iraq war started. The leaders were already out of bases months ahead. His thought experiment: if nobody had ever invented an index, we would all trade better — we would focus on individual stocks. A basket of 30 price-weighted stocks (the Dow) does not represent 10,000 stocks.

Mark answers the exposure question directly: he starts with small pilot buys — if his normal position size is 20-25%, he begins at 5-10%. If those work, he bumps to 15-20% or adds more positions, typically reaching 25-50% invested after the first two entries. If everything is working — open profits growing, buy list expanding, new stocks breaking out — he moves quickly to 75-100% invested. But if the same four positions are up yet the buy list is thin and new breakouts are failing, he pauses. There is no purely mechanical black-box rule; there is some feel developed over nearly four decades of trading.

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 advises traders to write down every trade category they trade — breakouts, mean reversion, breaking news catalysts — and for each category rank the key variables. What does the volume need to look like? How should the chart be setting up? How tight can the stop be? The point is to convert intuition into explicit criteria, making every setup evaluate-able against a written standard rather than a gut feeling. The written standard is what lets you size correctly when a high-probability setup appears.

After nearly blowing up, Ryan spent a weekend reviewing every stock he had bought over the prior year and found one repeating pattern: he was buying extended stocks — names that had already moved too far from their base. His fix was radical simplicity: buy only at the exact breakout point, right where the stock comes out of a proper base into new highs. That discipline produced his first major winner almost immediately (Circuit City, then called Wards). The rule is mechanical: draw a line over the majority of the base; the buy point is there, not at the highest tick. Buy where institutions are forced to buy — at the breakout — and you're aligned with the heaviest volume.

"I'm only gonna buy exactly at the buy point, exactly where the stock was coming out into new highs above the majority of the base."

Ryan's first championship year validated the buy-point discipline, but the next lesson came from position sizing: he was taking positions that were too large and not giving them enough room, getting shaken out before the move could develop. His fourth year was flat, his fifth he came in second, and then he won three US Investing Championships. His core insight, reinforced by O'Neil, is that the patterns that create big winners are timeless — a Bethlehem Steel chart from 1915 has the same base, same breakout, same volume signature as today's leaders. The only thing different is the name at the top. Human nature doesn't change, and neither do the charts it produces.

On the open, Ryan's firm rule is don't trade the first 30 minutes. Stocks that gap up two points and look like they're breaking out are often back down within half an hour, and apparent support breaks recover just as fast. The opening auction is where algorithms and overnight orders create maximum noise; waiting for the initial frenzy to settle eliminates his most common category of mistake. Going slower in the first 15–20 minutes — letting the market show its hand before you play yours — is one of the simplest and highest-return process improvements a trader can make. The data is clear: his worst entries cluster in the first half hour.

"I make most of my mistakes if I actually start trading too early — it's amazing how some of these things gap up and then a half an hour later you're already down a couple points."

Ryan recalls being interviewed for Market Wizards by Jack Schwager in a shared cubicle at O'Neil's office, with quote terminals shared through holes cut in the divider wall. The context underscores that the edge was never about infrastructure. His core compounding lesson: the biggest gains come from stocks that break out, make a new base, and break out again — at each new breakout you can add to a position you're already profitable in. He only adds to winners, never to losers. The multi-year move, where you buy once and ride two or three distinct breakout stages, is where serious wealth is made. Adding into a loss destroys the compounding effect entirely.

Ryan walks through a live Generac (GNRC) chart as a model of base analysis. He draws a trend line over the majority of the downtrend to identify the natural breakout level, then traces the stock's breakout, pullback, and run. The base structure shows quiet accumulation — tight weeks with drying volume as the stock consolidates, then a volume surge on the breakout that signals institutional commitment. The chart was telegraphing strength before any news confirmed it.

Ryan's sell discipline works at two levels. For a stock just bought that fails: if it breaks back into the base after a breakout, it goes — no questions, no rationalizing. For a stock with a significant gain: he watches for a change in the angle of ascent — when a stock that has been climbing steadily begins moving more vertically on high volume, the climax run is near. He trims into strength incrementally rather than waiting for an obvious top, because obvious tops only become obvious after the stock has already given back a large portion of the gain. The discipline is proactive: take partial profits when the angle steepens, not when it breaks.

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.

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.

Host asks what an A+ setup looks like. Gon walks through a real example: a low-float stock that gapped up pre-market, faded out intraday, then formed a base at a reference level — a short-squeeze setup. His buy point is the breakout of the intraday high after that base has formed, with increasing volume as it reclaims the level. He doesn't read the news or care about the catalyst — he doesn't even know why the stock moved. What he cares about is the squeeze pattern: demand showing up, fades getting absorbed, base forming. On high-conviction A+ setups, he goes all-in — full account — drawing on Lance Breitstein's advice to go big when the trade is genuinely easy.

"My buy price is my stop loss — the moment it takes out my entry, that tells me the setup failed."

Gon walks through two more live trade examples. TPST: after an initial squeeze, the stock went sideways and formed a base rather than fading hard — he entered on the breakout of that base's high, using the base low as his stop. AVGR: same pattern — big move, sideways consolidation at a key level, squeeze continuation on a fresh catalyst. Both illustrate his recurring playbook: the continuation base after a big first move is often the better trade than the initial spike, because risk is better defined and the move that follows tends to be even larger.

Gon makes the point that when multiple setup characteristics converge on the same chart, the probability of a large move increases significantly. He shows NXTP as an example: it has prior short squeeze history (structural short interest), VCP-like volume dry-up on the daily, and a bull flag pattern on the intraday simultaneously. Each setup type attracts a different buyer pool — breakout traders, squeeze traders, mean-reversion traders. When all three converge, they all enter at the same time and the move becomes exponential. Single-characteristic setups are good; multi-characteristic setups are where the outsized returns come from.

Despite the brutal 2022 bear market, Tito ran a $15,000 account to just under $90,000 by September. His best month ever — August 2022 — netted about $25,000. Then came the September FOMC day: the market initially popped on Powell's rate decision, and Tito bought Tesla calls at the 314 resistance breakout. The market reversed violently, and Tesla didn't see 314 again for over a year. Instead of accepting he was wrong, he averaged down at multiple support levels — committing the cardinal sin of adding to a loser. He lost $15,000 on back-to-back days, giving back all of August and more. The next day brought more random trades and more averaging down — a lag effect of not accepting the loss the day before.

Tito discovered through his own data that Mondays and Fridays are his best-performing days. On Mondays, stocks emerging from tight consolidations often break out early, and options IV hasn't yet caught up to the move — so as the stock surges and IV expands, the option position gets paid on both delta and vega. On Fridays, zero-DTE options provide a different edge: if a stock like Tesla has only moved half its weekly range heading into Friday, the options are dirt cheap, and a skilled trader can bet on statistical mean reversion for asymmetric returns. Tito doesn't trade zero-DTE heavily, but the Friday dynamic is real.

Tito walks through his Tesla trade from September 2025. After a big drawdown from April highs, Tesla formed a multi-month base with higher highs and higher lows on declining volume — the classic contraction pattern. The 10, 20, and 50 SMAs crossed back and stacked bullishly for the first time since May. The horizontal breakout level at 357-358 was clear and unambiguous — he prefers horizontal levels over trendlines because two traders see the same horizontal level but different trendlines. On Monday September 8th, Tesla broke through but sold back down. Tito took his biggest loss of the year on the failed entry and got out near the low of the day.

Tesla set up again days later and broke out for real. Tito re-entered with the following week's 380 calls, priced around $2-3. His thesis: if this was a real Tesla breakout, the stock could move 30-40 points based on prior history, putting 380 in reach — and those out-of-the-money calls could go to $20. The trade worked: within two days, three-quarters of his position was off at 8-10x, driven by both delta and the IV explosion that accompanies a Tesla breakout. By the following Monday when Tesla gapped into the 420s, the remaining calls were worth $40 — from a $3 entry. The trade succeeded because Tito trusted the setup even after the initial loss, separating the failed entry from the still-valid thesis.

RKLB had made an all-time high at 33 in January, sold off with the market, then began uptrending with an SMA crossback in April. After getting rejected at 33 twice, a low-volume pullback was quickly reclaimed — a buyer showed up the next week. Tito bought August 40 calls (roughly two months out) to trade the 33 breakout, giving himself enough time for the thesis to play out. The stock ran to 50 in two to three weeks, and the options went 5x. He was mostly out by 50, a psychological round number. The trade was powered by a fundamental catalyst — Rocket Lab was on pace for 20-plus launches in 2025 — layered on top of a clean technical setup.

Tito traded CoreWeave's IPO breakout — a classic setup with SMAs crossed back, price compressing toward the IPO high, and a series of catalysts (first earnings, institutional validation, expanded OpenAI deal, and Nvidia news later in the move). The stock tripled in a single month with no overhead supply and didn't even test the 10-day SMA until the move was nearly over. Tito admits he underplayed it badly: he got nervous about how extended it looked in the 80s and stopped pressing, even though the price action never gave a reason to exit. The regret prompted an honest self-assessment — he needs a hybrid system that lets him hold winners longer, whether through stock, leveraged ETFs, or further-out options.

In February 2025, Tito took his biggest loss of the year so far on MicroStrategy. The setup looked promising — a higher-timeframe wedge building, horizontal resistance at 340, and an inside day on Tuesday after a strong Monday. His plan was to buy the inside day breakout. His mistake: he entered cents before the trigger actually broke, anticipating the move rather than waiting for confirmation. MSTR never made a new high and became the high of the day. In hindsight, the SMAs were stacked to the downside — he was fighting overhead resistance — and Bitcoin was similarly weak. Anticipating the entry turned what should have been a missed trade into a real loss.

Tito discusses his path back from the MSTR loss. He traded Nvidia successfully on the recovery and found opportunities in SPX index options for diversification. More importantly, he had to pivot toward mean reversion as 2025's tape changed — stocks kept undercutting and reversing, making breakout buying unreliable. At heart he's a momentum buyer, but this year forced him to adapt: buying dips, selling into rips, and looking for failed breakdowns instead of breakouts. The shift was uncomfortable but necessary — market conditions dictate which edges work, and stubbornly sticking with one approach when the regime changes is a fast way to give back gains.

Throughout 2025, Tito had to pivot from his natural momentum-buyer identity toward mean reversion. Stocks kept making undercut lows and reversing — a regime where buying dips outperformed buying breakouts. This was psychologically difficult because it went against his wiring, but the data was clear: the market wasn't trending, it was chopping. He learned to look for setups where a stock reclaims a key level after undercutting it, signaling a failed breakdown rather than a continuation. The experience reinforced that no single style works in all environments — you adapt or you bleed.

Schwager traces trend following from Ed Seykota's era in the late 1960s — when running a simple moving average program on a brokerage firm's mainframe over the weekend was so unusual that the edge was enormous — to today, when every retail trader has access to the same tools and concepts. As trend following became widely known and universally taught, the edge degraded: more practitioners created more fake breakouts and shorter-term counter-trend moves that made staying in trends far harder. The underlying rationale still holds — real supply-demand imbalances take years to resolve, so genuine trends exist — but the return-to-risk ratio has compressed substantially.

"Once it becomes too popular, you start getting a whole bunch of fake breakouts and very short-term wild swings. The trends are still there, but they become choppier — and the edge that once printed money is now much smaller."

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.

Kristjan explains his core framework: stocks that make large multi-year moves do so in a staircase pattern — a leg higher, then a sideways consolidation or pullback where the volatility contraction tightens the range, then the next step higher. The setup is to identify stocks in a confirmed uptrend building one of these bases, and to buy when the tight consolidation breaks out to the next stair. Not every stock moves this way, but the best breakout candidates follow this structure consistently enough to make it a repeatable, systematizable approach. The pattern is the same whether the stock is at $10 or $500 — it’s the structure that matters.

Kristjan frames fundamentals and momentum as two distinct but related forces: fundamentals are the fuel, momentum is what happens after the fuel ignites. Studying the biggest winning stocks across market history, he found that most multi-year moves were driven by strong earnings acceleration and revenue growth that gave investors a clear reason to re-rate the stock higher. Combining fundamental strength with the breakout method gives a significant edge: the fundamentals provide conviction, help identify which bases are worth watching, and distinguish genuine leaders from random movers. He acknowledges some breakout traders ignore fundamentals entirely, but for him knowing the story behind a stock makes the difference in holding through volatility.

Once in a position, Kristjan trails his stop to the 10-day or 20-day moving average depending on how fast the stock is trending. He takes partial profits on the way up to reduce risk and lock in gains while keeping a core position running. When a stock he already owns forms a new consolidation and breaks out again, he treats that as a completely fresh trade with its own rules — the original position is managed separately. This framework keeps him from cutting winners too early or violating his risk rules when adding to a hot name. Using a trailing stop on each tranche means the worst outcome on any add is losing a defined amount, never letting a winner fully reverse.

When asked why so few traders succeed despite the breakout strategy being straightforward, Kristjan points to self-inflicted complexity: most traders add too many indicators and lose sight of price — the only thing that actually matters. Reacting to CNBC, macro commentary, and other traders’ opinions erodes process discipline and leads to fear-driven decisions rather than trusting what the market itself is showing. The traders who last are the ones who can tune all of that out and focus on what the market and leading stocks are doing. He notes there is an inverse correlation between the number of indicators someone uses and their profitability — simplicity is not a starting point, it’s the destination.

Not every trader can buy breakouts — some are psychologically wired as pullback traders, others as scalpers, and others as swing traders. Personality fit matters as much as strategy fit, and forcing yourself to trade a style that conflicts with your temperament is a recipe for inconsistency. Pradeep describes scalpers who consistently make money but burn out and seek his help transitioning to swing trading — the personality that thrives in one timeframe may break in another. He looks for self-leadership as the key trait in developing traders: the proactive drive to find answers independently, as Kristjan Kullamägi demonstrated by reading through years of StockBee historical posts before asking a single question. The traders who make it are not the ones who wait for solutions to arrive — they go and find them.

"Some traders can buy breakouts and make breakouts work. Some people are personality-wise not born to buy breakouts — they are pullback traders. You have to find what suits your personality."

With the broader market in a neutral state, Weinstein identifies where genuine leadership is showing up: biotechnology has been almost universally strong, semiconductors and AI-related names have been outstanding, and the Russell 2000 has finally broken above its 200-day moving average after a prolonged period below it. The Russell breakout is particularly meaningful — when small-cap stocks join the large-cap leaders, the rally becomes broader and more credible as a sustained move rather than a narrow tech-driven spike. This broadening of stage 2 action across sectors is what Weinstein looks for to confirm a genuine change in market character.

Asked how to pick the best stocks from the many transitioning out of stage 1, Weinstein explains his forest-to-trees approach. The first filter is the overall market environment. The second is group strength: a great chart in a weak sector is worth less than a good chart in a leading group, so identify the leaders first. Third, check for minimal nearby overhead supply — prior price highs create resistance that absorbs buying and stalls moves. Finally, require volume confirmation on the actual breakout: without institutional participation showing up as a notable volume spike, the breakout lacks the force to sustain. All four boxes need to be checked for a setup to earn A+ status.

"Plus it's got volume coming in which shows that people are excited to do buying."

Weinstein introduces his proprietary 4B- rating: a stage 4 stock that has been thoroughly destroyed, built at least a small base, reclaimed the 50-day MA, and has room to run with no nearby overhead supply. The minus suffix indicates the stock is no longer in free-fall but hasn't yet developed into a proper stage 1 base. For short sellers, the 4B- is the signal to cover; for aggressive early-entry traders, it marks the first point where a tentative long becomes defensible. Weinstein emphasizes that buying at 4B- requires patience — the stock may need months to fully transition into a stage 2 breakout, but the risk/reward at this late-stage-4 inflection is structurally favorable for those willing to wait.

"It's no longer a grade of whatever that stage is."

Williams explains how Bill Meehan — who tutored three traders including Williams — combined a fundamental directional framework with Williams's technical timing to produce a system that worked. Bill taught Williams how to determine where the market was headed over weeks and months; Williams developed the entry mechanism: a volatility breakout system built around the opening price, introduced around 1982. The logic is straightforward: calculate an expected range for the day, bracket a small distance above and below the opening, and enter in whichever direction price breaks. Williams notes the system worked powerfully in pit-session markets but became less effective once electronic trading eliminated the defined opening range, though the concept still applies to stocks and swing trading setups through patterns like the OOPS reversal.

"We just bracket that — a little bit above and below the opening."

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.

"Listening to your own portfolio feedback is probably the most important thing for identifying if your edge is in favor."

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.

"A lot of bases that are explosive have like an undercut and reclaim."

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.

"If it has everything like Nvidia, like SMCI — that's when we'll size the biggest."

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.

"Connor enters on pullbacks, I enter on breakouts and episodic pivots. Having those different perspectives makes the total sum much more powerful."

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.

"Long in stage two, short in stage four. Looking at the alignment and slope of the 10, 20, 30, 40 will literally keep you out of trouble."

Ariel describes the simple scalping formula that worked during the 2020–21 uptrend. In a strong trending market, draw horizontal lines at previous resistance areas. When price breaks through and then pulls back to that level, two forces converge: dip buyers stepping in against the level, and trapped short sellers who didn’t cover on the breakout now buying to exit near flat. This psychology turns old resistance into new support. Ariel used level 2 to read bid/ask acceleration, bought 1,000–2,000 shares for a 15-cent bounce ($300 per trade), and lived by the phrase ‘buy red, see green’ — buy the red candle, sell as soon as it turned green. The strategy broke in 2022 when the environment shifted from trending to choppy.

"Psychologically, previous resistance can become support because you have the dip buyers against that level and you have shorts who didn’t cover who are now getting a chance to get out. So there becomes twice the amount of buyers against the level of previous resistance."

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 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."

Luk started trading in October 2020 with HK$10,000 — about US$1,300 — from a Hong Kong government cash payout, which was just enough to open a brokerage account. Lockdown gave him free time, and Hong Kong YouTube channels were saturated with VCP pattern videos, which led him to Mark Minervini, breakout setups, and systematic risk management. Studying finance and economics at university reinforced the interest, and the post-March-2020 US recovery made US markets the hot topic among his peers.

"The VCP pattern just really intrigued me and attracted me to study more about the setup."

Luk credits Kullamägi with the biggest shift in his trading: moving from traditional breakout entries with 5–8% stops to aggressive entries from tight ranges with much tighter stops. Kullamägi emphasized that the best time to buy is when a stock breaks out of a tight range, and he drew trend lines differently from what Luk had learned. Above all, the lesson was to respect stops and manage risk first. Luk says those principles became the core of his own system.

"The biggest lesson I learned from him is how he manages his risk... tighter stops... tight ranges."

During a semester exchange in Germany in 2023, Luk caught a breakout trade that ran 100% in two weeks. It took his P&L back to all-time highs in percentage terms after a drawdown that had lasted since February 2021. More important than the money was the mental shift: he stopped trying to climb back to breakeven and started focusing on making the right decision and being disciplined. He calls it the turning point of his trading career.

"I really shifted my focus from climbing back the trough and making back all the losses to really focusing on making the right decision and being disciplined."

Studying past winners such as Amazon, Adobe, First Solar, and Plug, Luk noticed a repeatable pattern: stocks that make big moves rarely revisit the low of the breakout day. Instead of gapping up 10% and down 15%, they grind higher along rising moving averages, which gives traders a logical place to set a tight stop. He cites Dan Zanger's line that winning horses don't back up at the starting block, and argues that if price takes out your stop, the entry was probably not the optimal buy point.

"Normally when a stock makes a big move it tends not to revisit the low of the breakout days... That's how I build my confidence for setting a tight stop."

Luk explains the mechanics of opening-range high entries: the first one-minute candle after the open sets the range, a break of its high is the entry, and the low of day is the stop. If the opening-range breakout fails but the setup still looks intact, he looks for a re-entry at an intraday range high, using tight ranges and the 9 EMA as guides, with the new low of day as the stop. He uses one-minute charts immediately after the open and switches to five-minute charts after the first five-minute candle forms, preferring five-minute for less noise and a higher success rate.

"I really love the five minutes one because there's less noise and there's a higher success rate."

Luk combines selling into strength and selling into weakness. He trims roughly 10–15% of a position at a time when profit exceeds three risk multiples, when the position grows beyond 35% of the portfolio, when price is extended from the 9 EMA, or when he feels euphoric — which he treats as a top signal. For selling into weakness he uses trailing stops, mostly the 9 EMA, widening to the 21 or 50 EMA early in a trend to avoid shakeouts. He also trails below swing lows or breakout-bar lows when those levels make more sense.

"Each trim of the position is around 10 to 15%... For selling into weakness I use trailing stops, and mostly I'm using the 9 EMA."

Although Luk uses both exits, he leans more on selling into weakness. The balance changes with context: at the start of a move, when he is unsure whether breakouts will hold, he sells into strength more aggressively; in the middle of a trend he holds a larger portion for a bigger move. When the market is extended after months of gains or approaching prior highs, he trims earlier because the odds of rejection rise. His equity curve matters too — in a drawdown he sells into strength to reduce risk, while at all-time highs he trails more of the position to capture a larger trend.

"I lean more on selling weakness... It really depends on where the current situation is... If I'm in a drawdown, I would try to sell into strength more."

Luk admits his SMCI entry was not his best: he bought after the breakout rather than at the prior-day-high trigger, partly because he was afraid of missing the move. What saved the trade was the weekly chart — a roughly six-month base that never violated the weekly 21 EMA and kept making higher lows and higher highs, followed by two tight weekly candles in January 2024. The weekly chart gives him the bigger picture and confidence to hold through daily noise; he prefers weekly context to support a daily entry.

"SMCI has been building a base since August... around a six-month base... it never violates the weekly 21 EMA."

Luk looks for a large weekly base because it adds confidence and an edge on breakouts, but he does not require one — some stocks make huge moves without a clean base. He also rarely adds to a position after the first entry: his tight stop already allows a large enough initial position, and adding after a 10–15% move would make the position too big. Most of his attempted adds have failed, so he treats the first entry as the position.

"I'm focused on finding a good base or a large base on weekly, but that's not a must... A good weekly chart really adds [to] my confidence."

Luk's COIN trade was not a conventional breakout. He bought near the low of the day as price tried to reclaim it, because Bitcoin had formed an inside day and was breaking prior-day highs; he expected COIN to follow. Waiting for COIN's own prior-day-high breakout would have made the stop too wide, so he used the low of day and an anchored VWAP break to define risk. He later panic-sold instead of following his sell rules, then watched COIN set up another breakout without him — a reminder that even a good entry can be wasted by poor execution.

"I didn't wait until COIN gave me a proper breakout setup... I'm just using the low of day when it's trying to reclaim back from the low of day... the stop would be too wide."

Luk bought AMC at the five-minute opening-range high and was stopped out when the breakout candle's low failed. He stayed with the idea, waited for the stock to form a tight range near the 21 EMA on the five-minute chart, and re-entered on an inside-day breakout. As price took out the high of day he raised the stop to the breakout candle's low — about 3.2% risk — and rode the position for roughly 170% before selling half premarket into strength near the declining monthly 9 EMA and 2020–21 swing lows.

"I bought the opening range highs on the five-minute candle breakout... I keep watching it until it forms a nice range near the 21 EMA... I bought the inside day breakout."

SOFI was a cleaner, more traditional breakout than COIN or SMCI: after a move from $7 to $11–12, it pulled back for three days and consolidated near the 9 EMA, then opened in the upper part of the prior candle and took out the prior day's high. Luk entered there, set his stop at the low of day, trimmed a portion at six risk multiples, and closed the rest when price posted below the 9 EMA and growth names started breaking down in December. He had planned to trail on the 23 EMA but lost conviction in the broader market.

"It's a much cleaner breakout... three days of pullbacks and consolidation near the 9 EMA... I set my stop at the day low."

Luk traded COIN's post-election gap as an EP without examining fundamentals — he only reads headlines to understand why a stock is gapping, then focuses on the chart. COIN gapped more than 10% premarket near prior swing highs; he entered around the opening-range high as it cleared the swing highs and kept risk under 3%. He trimmed at seven risk multiples and closed the rest when COIN closed on the 9 EMA, as December breakouts began failing.

"I won't look at the fundamentals of the EP... I'm just going to glance through the news and see the headlines... then I'm focusing on the charts."

Luk entered SoundHound at the opening-range high with a 4% stop — wider than he normally accepts — because he did not want to wait for the prior-day-high breakout and widen the stop further. The trade worked, but he then sold poorly: he did not follow the 9 EMA and exited on what looked like a bearish reversal, only to watch price find support at the 9 EMA and run another 80–90%. He skipped the later breakout because the general market made him skeptical, which he accepts as part of trading.

"I entered at the opening range highs and I used a 4% stop... The lesson I wanted to point out is the poor selling... I didn't follow the nine-day [EMA]."

QBTS built a tight flag near the 9 and 21 EMAs after failing to push higher, then opened strongly. Luk bought the opening-range high but was stopped out within two or three minutes; he re-entered when the stock held and tried to break out again. He emphasizes how much difference a precise entry makes: a move that looks like less than half a bar on the chart can be 8–9% of risk. He sold most of the position into strength on accelerating volume and parabolic extension, and the trade alone contributed about 80% of his December profits.

"This trade alone contributes 80% of my profits in December... I bought the opening range highs but got stopped out... I still managed to find a re-entry point."

Luk argues that traders should judge market conditions primarily through their own equity curve, not through other people's opinions. He cites a tweet he likes: the one thing all traders have in common is the feedback from their own P&L, regardless of style. If the indexes are weak but his trades are working, he keeps going; if his watch list is migrating from leading to lagging, he becomes cautious. He also checks whether the indexes are approaching resistance, because breakouts often fail when the market is extended into a level.

"The one thing all traders have in common is the feedback from their own P&L... The equity curve feedback is really helpful to identify whether the market is favorable for your own strategies."

Ang argues that the personal details around a strategy matter more than the strategy itself, because every trader's psychological makeup is different. He is naturally impatient and cannot sit through months of position-trade pullbacks, so he found a middle ground in Mario's approach of taking a partial at 2.5 ADRs from entry; in trending environments Ang now takes a third of the position off at 28 ADRs of unrealised gain. Everyone buys breakouts and pullbacks, he says — how you apply the method to your own temperament is the real edge.

"Everyone's doing the same thing. It's just how you apply it and make it your own. That's the real edge."

Newer traders prioritise the setup over the environment, Ang says; the longer you trade and the more winners you study against an index chart, the clearer it becomes that the market sets the odds. When the NASDAQ is above a rising 10-day and 20-day moving average, breakouts follow through more easily; when the index is below all its relevant moving averages, he treats almost any breakout as likely to fail. That makes market environment the first filter on how much risk he is willing to take, before he looks at a single stock.

"When the index is trending below all the relevant moving averages, you can almost guarantee that any breakout you find will fail."

Ang walks through the April 2025 Liberation Day low as a case study in reading the market rather than predicting it. The first signal was technical: leaders began breaking their 20-day exponential moving averages in February, so short-term momentum was gone. Through the selloff he screened for relative strength and found growth names holding above their moving averages while the NASDAQ sat below all of its own, and sentiment on X was universally bearish. The turn came on a Monday gap-down that immediately snapped back — an undercut and rally — with the NASDAQ testing its February 2021 breakout level, which turned into support, and the strongest leaders breaking out first. No single indicator called the bottom; it was the sum of the evidence.

"There's no one indicator that will tell you the market has bottomed. It's more like the sum of the evidence, putting the puzzles together."

Ang noticed that the traders he studied were all describing the same setup in different language: Oliver Kell's wedge pop and base, Minervini's VCP, and Qullamaggie's move that tightens as the 10- and 20-day catch up, forms a higher low, and breaks out. He tested those ideas with real money until he found his own version. The same experimental logic applied to risk: the standard 1% per trade sounded sensible, but after 10 or 30 consecutive losses the cuts compound into a serious drawdown; he found that 3–5% builds more failure into the system and suits him, and after a stressful Q1 2025 at 0.5–1% he moved to 3–5% from Q2 onward.

"They're all actually the same concept, just set differently."

Ang's A+ trades are the only ones where he will go below his normal risk band — about 1% initially — and the Ethereum trade of June–August 2025 is his example. Price action was constructive, but the edge came from stacking independent evidence: commitment-of-traders data showed large speculators at maximum short, a short position that would have to be covered; Bitcoin was setting up in the same way; the related crypto group was confirming; and the broader market had bottomed in April and was in a strong uptrend. Once the trade worked he parlayed the profits into a buffer and risked that buffer on the same idea rather than taking it off the table.

"If Ethereum does break out from here... you'd see a lot of short covering, which would add rocket fuel for that upside."

To learn market environment, Ang adopted Qullamaggie's exercise wholesale: chart every big winner of 2023 and ask where he would have bought, where he would have placed his stop, how he would have managed the trade, and whether the stock respected its 10-day or 20-day moving average on the way out. He repeated it until the patterns became obvious, then overlaid the index on his entries and exits and saw that when the QQQ was extended, breakouts tended to fail — so he became more selective and bought pullbacks instead of breakouts. Rereading the first 100 charts in O'Neil's How to Make Money in Stocks produced the aha moment: the biggest winners come after market corrections, which made him more patient in the current decline.

"The biggest opportunities, the biggest winners, happen after market corrections. Why didn't I get it until now?"

Ang admits there is no clean answer to when you should restore normal size after cutting it, and describes what he actually did in 2025. After a 50% May he began selling winners too early — he sold Robinhood into strength expecting a pullback that never came while the stock doubled — then gave back part of the peak and cut size. Through June he stayed selective and waited for A+ setups; a gold and silver consolidation breakout justified a normal 0.3% risk, and when losses resumed later in the month he cut again and waited until Bitcoin and Ethereum set up. The lesson is that he did not rebuild size gradually on mediocre trades: he waited for the setup strong enough to take normal risk immediately.

"I was cutting my size down until I saw what I would consider an A+ setup."