Technical Analysis

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.

Mark walks through a recent Schwab (SCHW) purchase to demonstrate his setup in real time. The stock formed a large base, tightened up on the right side, and produced a reversal recovery pattern — a specific setup Mark named where a stock undercuts a prior squat low, reverses, and closes strong. Mark entered at 79.45 as the stock moved through the pivot level, getting about 45 cents of slippage. He monitors a five-minute chart alongside the daily and weekly, but he never trades off intraday charts alone — even his day trades are based on the daily setup. When the stock gaps up but the gap is microscopic relative to the pivot, he does not consider it extended.

Mark walks through additional trades: PayPal (bought, sold on the bearish engulfing, bought back after the reset), steel stocks like STLD (bought at the pivot, ran 3-5 days, then faded — the 'pop and drop' theme of this market), and PAG — a textbook cup-with-handle that worked beautifully. For SKY, Mark shows the base and discusses adding to positions on a reset. The key lesson: in a choppy post-correction market, holding through pullbacks does not work. You sell into strength after a few days because the pop is all the market is giving, then redeploy into the next setup.

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.

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.

Additional trend definitions: holding above VWAP all day (Nvidia on May 18th before blowout earnings) and holding above key moving averages (First Solar weekly chart). Lance emphasizes a core principle: all technical concepts are fractal — they apply identically whether you zoom into a one-minute chart or out to a monthly chart. The same structure that defines an intraday trend defines a secular bull market.

Lance introduces the concept of a reference price as the anchor that defines trend in real time. Using the GME intraday chart from January 28, 2021 — the stock melting down 210 points — he shows how waiting for the counter-trend (a break of prior bar highs) transforms what looks like fighting the trend into trading with it. This single shift in timing — waiting for the reversal confirmation rather than guessing the bottom — eliminated his biggest drawdowns and turned his mean reversion from a source of losses into a source of gains.

Knowing when a trend is ending is as important as identifying when it begins. Lance teaches the signals: huge volume spikes relative to prior bars, price exhaustion where the move accelerates to an unsustainable angle, and capitulatory patterns where the last weak hands are flushed out. These climax signals create the foundation for the next move — the same massive volume dump that marks the end of a downtrend becomes the accumulation base for the reversal higher.

Diving deeper into identifying the right side of a V-bottom: Lance looks for daily charts that are exceptionally extended and intraday charts showing capitulation volume. His key heuristic is 2x volume — the capitulation bar should show at least double the volume of the prior bar, ideally on both daily and intraday timeframes. But the first and most important step is trading the right names: 99% of stocks are noise most of the time. The edge exists only in stocks that are truly in play with trending, exceptional moves.

Lance explains why he uses two-minute bars: it is not magic, but a practical timeframe. Technicals are fractal, so the same concepts apply to any bar size. His entry uses the prior two-minute bar high (for longs) or low (for shorts) as the trigger, and his trailing stop uses the same prior bar levels. When a stock breaks a prior bar high and holds, the trend is confirming — and when it breaks a prior bar low, the trend may be ending. The method is mechanical, repeatable, and removes discretion at the moment of execution.

Lance uses a sentiment scale to stay calibrated during trades. Zero is neutral — flat, dead price action. Positive 10 is steady, sustainable bullish accumulation. Positive 20 is euphoric — so bullish you do not want to be long anymore because the move is exhausting itself. Negative 10 is steady bearish selling. Negative 20 is pure panic capitulation — everyone puking, the exact condition for a mean-reversion long. The scale forces continuous awareness of where the stock sits in the emotional cycle, preventing you from buying euphoria or shorting panic.

Ryan walks through the principles O'Neil repeated consistently: always stay optimistic about the long-term opportunity the market offers — pessimism is a self-fulfilling handicap. Stay humble, because the market will humble you every time you think you've mastered it. Simplicity wins — the best products in the world never need a manual, and the best trading systems are no different. O'Neil stressed details obsessively: in chart reading, the smallest detail — the precise volume on a single bar, the exact close relative to the prior day — separates a mediocre stock from a potential ten-bagger. The difference between a 30% gain and a 300% gain is in the details most traders skip.

Ryan walks through a live QQQ analysis: back at highs but underperforming the S&P since February, rallying on lighter volume than the preceding decline — subtle but meaningful divergence. He traces the price and volume patterns that distinguish a genuine market recovery from a dead-cat bounce, watching for follow-through days with both price and volume confirmation. The macro signal is in the indices themselves: before you pick individual stocks, you need to know whether the market is in a confirmed uptrend, an uptrend under pressure, or a correction. Getting that wrong makes every stock pick harder.

Ryan demonstrates his rapid first-pass process live: when he pulls up a stock he's never seen, his eye goes immediately to uptrend, proximity to highs, and whether it's extended. IBM is dismissed in a fraction of a second — gap down, poor relative strength, downtrend. ASIX gets more attention: it's in an uptrend and near its high, but the base is only two weeks long, and he prefers longer bases because shorter consolidations tend to produce shorter moves. The buy point is defined by drawing a line over the majority of the base, not the absolute high. Speed in initial screening is the feature that lets you spend real analytical time only on the setups that deserve it.

Ryan explains the critical distinction between the RS rating (the 12-month percentile number) and the RS line (price performance relative to the S&P 500 plotted on the chart daily). The rating can be misleading: a stock that ran 300% and then fell 50% may still show a 99 RS rating because the prior gain dominates the calculation. The RS line shows actual relative performance direction in real time. He looks for the RS line to be making new highs alongside or ahead of price. A stock where price is still at highs but the RS line has started rolling over is already losing institutional sponsorship before the chart itself shows it — that divergence is one of his most important early warning signals.

"I put a lot more weight into how this stock is acting relative to the S&P — you can see real divergences when stocks are making new highs and the relative strength line is not."

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 developed an indicator he calls ANTS, measuring strings of consecutive up days with very few down days. The question it answers: what distinguishes a stock that makes a 20% move and stops from one that makes a multi-year 300%+ move? The answer he found is the buying pattern at the beginning — if a stock shows many consecutive days up without breaking the prior day's low, that is institutions executing large programs over days or weeks. A fund with three million shares to buy in a stock trading 600,000 daily can't complete the order in one session; the accumulation shows up as consistent quiet buying that pushes price higher each day.

"They have three million shares to buy and they can't get it done in a day — so the stock just keeps grinding higher."

Ryan offers an important caveat on the ANTS indicator: if the same consecutive-up-day pattern appears late in a move — after a stock has already made a large advance — it can signal a climax rather than continued accumulation. The context of where the pattern appears is as important as the pattern itself. At the beginning of a move, steady consecutive up days mean institutional buying. At the end of a large move, the same pattern can mean the last buyers are piling in before the turn. Timeframe and position within the overall trend determine the interpretation. This is the nuance that separates pattern recognition from pattern matching.

Ted introduces a quantitative approach to measuring linearity: count how many consecutive days a stock makes a new high without breaking the previous day's low. He's building a scoring system at Reverd that tracks the percentage of time a stock stays above key moving averages over a given period, turning qualitative 'smoothness' into a numeric score. The more linear the move, the easier it is to hold — linear stocks respect the 5-day and 10-day like guardrails, giving the trader clear exit signals. Choppy stocks break key levels constantly, forcing constant decision-making and eroding conviction.

Gon shares his screen and walks through his daily workflow. He uses Charles Schwab and ThinkTrading, primarily on 5-minute and 15-minute charts. His pre-market scan is simple: percentage movers, sorted by the largest gap-ups. No news filter, no fundamental filter — just price and volume. His ideal candidates are stocks making 4–5x their average daily volume in pre-market, regardless of the catalyst. He keeps the process intentionally clean: the setup must be visible in price and volume alone.

Asked about additional characteristics he looks for, Gon reveals the sparseness of his chart: 9 EMA, 21 EMA, price, and volume — that's it. No VWAP, no ADR, no additional indicators. He is strictly price-and-volume based. On a given day he sets up his watchlist in pre-market and watches those names closely, but as the day progresses and new names appear with the right volume signatures, he adds them. He doesn't predict which stocks will move — he waits for price and volume to tell him, then reacts.

"I don't have VWAP or ADRs or anything like that. I'm strictly price and volume based."

Gon makes a key observation about small-cap squeezes: once a stock has run 100%+ in a few hours and then moves sideways on declining volume, forming another base, the chances of an even larger subsequent move are high. The sideways consolidation with drying volume shows that sellers are exhausted and the remaining holders are committed — the float is effectively even tighter than before. When the next catalyst or buyer wave hits, the move compounds. He admits that if he'd held a specific trade through the full continuation, his annual return would have been in four digits — a humbling lesson in letting winners run.

Host asks what on the daily chart makes an intraday setup higher quality. Gon explains: when the same squeeze pattern visible intraday — demand showing up, fades getting absorbed, base forming — is also visible on the daily chart, two categories of trapped shorts must cover simultaneously: those from the daily trend and those from the intraday move. The resulting buying pressure is multiplicative. The pre-market volume spike on the daily chart confirms institutional participation, not just retail noise. Daily confirmation is what separates a clean, high-probability squeeze from a random intraday spike that fizzles.

Gon shows DPST as a masterclass in halts and squeezes: a 15-minute chart full of halt-up bars, running over 1,000% intraday. He deliberately stayed out during the initial frenzy because there was no tradeable entry — the stock was halting up too fast. Instead, he waited for the post-halt consolidation, when volume dried up and the stock went sideways, forming the base that signaled the next leg. He contrasts this with another stock that showed the same pattern on a smaller scale: pre-market strength, post-open fade, sideways base, then squeeze continuation. The playbook repeats across tickers and timeframes.

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.

April 27th was the trade that changed Gon's trajectory — a tight base formed on top of a prior base, entered with full size, and ran significantly. He recognized the VCP-like characteristics: the stock was consolidating above the lows of the prior base, showing strong relative strength. Because the risk was tiny relative to the potential reward, he went in with conviction. The trade worked — but more importantly, it was a validation of his ability to recognize high-quality setups in real time, not just in hindsight. It was the moment his chart reading crossed from academic to applied.

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.

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.

Tito shares examples where option premium provided an edge unavailable from price alone. During the GME meme cycle, puts were so expensive post-run that buying them was a bad trade even if the stock fell — the premium collapse would eat most of the move. Conversely, call debit spreads during GME uptrends offered extraordinary risk-reward because the skew was so extreme. On a separate occasion, SLV puts refused to fall even as the stock rose — the persistent bid hinted at a looming reversal, and within 15 minutes the top was in. The lesson: option premium can act as a leading indicator when it diverges from price action.

Schwager worked exclusively as a fundamental analyst until he noticed that his colleague Steve Kroll, the one technical analyst in the group, was more right than wrong more consistently than anyone else. That forced him to take it seriously. The deeper insight: fundamental analysis is structurally incompatible with risk management. If you're bullish on wheat at $5 and it drops to $4.50 with fundamentals unchanged, the rational fundamental response is to buy more — exactly the opposite of what risk management requires. Technical analysis solves this cleanly: if price goes against your analysis, the analysis is by definition wrong, giving you a natural, unambiguous stopping point regardless of whether you trade with the trend or against it.

"Fundamental analysis is, in many ways, very difficult to make compatible with risk management. The more things go against you — if the fundamentals don't change — the more it would have you adding to the position. That's exactly the opposite of what you should be doing."

Schwager describes traders who built edges from glitches — one made hundreds of millions exploiting a pricing discrepancy in a single brokerage platform — as evidence that edges can come from entirely unexpected places. He then addresses the perennial debate between technical and fundamental traders. Each camp tends to dismiss the other: Jim Rogers famously said he never met a rich technician except those who sell their services. But the dismissal works both ways — and both sides have produced fortunes. The conviction that only one approach can work is false, but it is a conviction nearly every successful trader holds.

Schwager explains why traders have such fierce convictions that only their approach works — and why they are simultaneously right and wrong. Jim Rogers built his wealth on pure fundamental analysis; Bonnie Schwartz spent ten years as a fundamental analyst losing money, then got rich as a technician. Both are right about their own approach; neither is right about dismissing the other's. The conclusion: successful traders ultimately trade their personality. Finding an approach that genuinely fits your temperament — your patience, your risk tolerance, your information processing style — is more important than finding the abstractly 'correct' method.

"Fundamental analysis works for Rogers. Technical analysis works for Schwarz. It goes down to being critical that every trader find an approach that works for them."

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.

When asked how he scans for candidates, Kristjan is direct: scan for the strongest momentum stocks — those with high relative strength and significant recent price performance. The pattern itself cannot be automated; you have to learn to see it. What he looks for is linearity: how orderly is the pullback or consolidation after the previous leg higher? A disorderly, choppy base is a red flag; a clean, tight range that holds its structure signals institutional accumulation. He notes he now mostly trades large caps because of liquidity constraints at his size, but momentum trading in mid and small caps produced many of his best historical returns when the account was smaller.

Weinstein explains why stage analysis creates the most favorable risk/reward environment for active traders. When a stock has been thoroughly destroyed during a stage 4 decline and has since built a base, the emergence into stage 2 with moving averages beginning to turn up creates an entry where the natural stop is close and the potential upside is large. Buying into stage 3 or stage 4 reverses this equation entirely: the easy move has already been made and downside risk far outweighs remaining upside. The system's entire edge comes from entering early in the cycle, before the crowd has recognized the opportunity.

In a live walkthrough of his Global Trend Alert newsletter recommendations, Weinstein reviews both successful positions and trades that did not work — narrating exactly what he sees and why each chart passes or fails his standards. He explains how the 50-day and 200-day moving averages define the structural backbone of any stage 2 setup, how the slope of those averages indicates stage health, and what distinguishes a genuinely high-quality base from a merely acceptable one. A chart that otherwise looks like a stage 2 setup but has nearby overhead supply — prior resistance from previous highs — gets downgraded: buyers will need to work through that supply before the move can fully materialize.

"It's not an A-plus chart because you do have supply."

Weinstein walks through a series of charts to explain how gaps function as signals of institutional conviction. When a stock gaps up as it transitions from stage 1 to stage 2, confirmed by a move above its long-term moving averages, that breakaway gap is one of the strongest buy signals available. Even more powerful: when a subsequent pullback fails to fill that gap, it demonstrates that real demand stepped in and held price above that level. He notes that while roughly 90% of gaps eventually get filled, the 10–15% that do not — including a gap from 1962 on the Dow Jones that has never been filled — carry exceptional predictive power. News-driven gaps that fill quickly signal the opposite: the move lacked institutional backing.

"The 10 or 15% that don't get covered — that's a very powerful signal."

Weinstein continues the gap analysis, showing how the same gap pattern that signals a strong stage 2 entry becomes a warning when it appears in an extended stock. Using the Nvidia chart, he identifies how a third or fourth gap — appearing late in a significant move, far above the moving averages — shifts the probability from continuation to exhaustion. When that late gap is followed by a terrible close on heavy volume, the warning is clear. He explains that he trimmed Nvidia positions for clients on exactly this analysis, separating the short-term tactical view from the long-term thesis: Nvidia remains a strong company, but the technical evidence argued for reducing exposure after the exhaustion pattern appeared.

"That to me is an exhaustion gap. It's late in the move."

Weinstein walks through a series of stocks on his sell list, demonstrating the recurring patterns that signal stage 3 and stage 4 breakdowns: double tops followed by 50-day MA breaks, systematic series of lower peaks indicating distribution, and head-and-shoulders patterns that breach both the 150-day and 200-day moving averages. Each break of the 50-day MA is a warning — individually survivable but collectively diagnostic. Using live chart examples from multiple names, he shows how the accumulation of these warning signals makes the eventual stage 4 breakdown predictable rather than surprising, even in what he considers a neutral market.

"Each one is a small warning — a warning heart attack."

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 why he considers comparative strength — comparing related markets like corn against soybeans, or heating oil against crude oil — more actionable than traditional relative strength rankings across all stocks. A market that has held up best during sector declines and rallied hardest within its group is the one to buy; the weakest within the group is the one to sell short. He describes how his market focus evolved from thin, seasonal markets like eggs to deep, liquid futures — Treasury bonds and stock index futures — where his own orders cannot become the market and his stops fill as intended.

"Comparative strength is much more important than relative strength."

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."

When asked about recommended trading books, Williams names several authors — Tom DeMark, Jake Bernstein, John Bollinger, Linda Bradford Raschke — but pivots to his most enduring belief: the market itself is the best teacher available. Every losing streak is a curriculum if you listen to it. Rather than blaming conditions when trades fail, he asks what the market is trying to teach him, and argues that this question, honestly pursued, will reveal the answer every time. He also describes his toolbox: 35 custom indicators, with the critical principle being that each must be calibrated to the time frame and natural rhythm of the specific market — a generic 14-day RSI on a market with a 22-day cycle is measuring the wrong thing.

"The market's the best teacher."

Williams begins a live chart walkthrough by demonstrating comparative strength with two airline stocks — American Airlines and United Airlines. At a point where the sector was rolling over, American Airlines had made a higher high while United had not, making United the weaker stock and the correct short-sale target. Williams explains the principle: in a bearish sector environment, sell the weakest member — the one that could not rally as far — because it is likely to fall the hardest. He extends the concept to futures markets, looking for comparative strength relationships within families like stock index futures to determine which contract offers the best risk-reward for the directional view. The walkthrough shows how he identifies these setups on real charts with price structure alone.

Williams explains how he structures his weekly preparation around three layers. First, seasonal patterns provide a directional forecast — historical price cycles that indicate when certain markets typically rally or decline, though he stresses these are tendencies, not guarantees, and must be confirmed each year. Second, the Commitment of Traders report shows whether commercial traders are positioned net long or short, giving institutional confirmation to the seasonal bias. Third, he combines time frames: the weekly chart sets the directional framework and the daily chart provides precise entry timing. When all three layers align — seasonal tailwind, commercial positioning confirmation, and a daily chart entry signal — the trade has his highest conviction. He demonstrates on a live chart how the seasonal pattern's red forecast line turned up before price followed.

"Seasonal patterns — I look at them. They often don't follow a seasonal pattern, so you have to be careful."

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."

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."

Asked how much is analysis versus gut feel, Druckenmiller responds: “with analysis comes paralysis.” He cites Soros’s mantra — invest, then investigate. In a fast-moving world, if he gets an idea he thinks is attractive, he buys first and has his analysts back into it. If they prove him wrong, he gets out. He started in the 1970s with a chartist mentor and still uses technical analysis for two purposes: rate-of-change data tends to lead and helps find things others are not looking at, and charts provide a discipline check on falling in love with a thesis. His mentor’s framework: out of 6,000 stocks, you can always find 20 with both a good chart and a good fundamental story — if either one does not fit, do not do it. Being stubborn but agile is the hallmark of a great investor.

"With analysis comes paralysis. Soros used to say invest and then investigate. If I get an idea and I think it’s attractive, I generally go ahead and buy it and then tell the analysts to back into it. If it turns out I was wrong after they analyze it, I get out."

How does Druckenmiller question his own beliefs? Price action is his primary check — if his thesis is bullish but the stock is not moving, he re-examines the thesis repeatedly. He also surrounds himself with young people unafraid to argue with him: if someone has been around too long and agrees with everything he says, they are not around much longer. But he acknowledges that price action versus news is not the reliable signal it was 20 to 30 years ago, when a stock that opened down 10% on bad earnings and closed up was almost guaranteed to be higher in three months. Algorithmic traders, factor investors, and active hedge funds have all learned the same tricks and degraded the signal. He adapts rather than complaining — it is just a new world.

"If I’ve got a thesis and it’s really bullish and it’s playing out and the stock’s not going anywhere, makes me go back and check the thesis over and over."

Tangen asks if Druckenmiller generally sells early. He explains he's a technician who usually waits for tops before selling — Nvidia had no top, he just thought a $2 trillion market cap was excessive for a cyclical semiconductor company. He defines a top: the rate of change flattens and the stock consolidates. The challenge is that the same consolidation pattern can be a bull flag continuing higher or a true top reversing lower — you have to form an opinion and act. Crucially, he's willing to buy something back higher than he sold it; he's not emotional about prices.

"I'm a technician so I usually wait for tops. A top is something where the rate of change of it going up changes and it tends to flatten out for quite some time. The trick is, in the technical world that could end up being a bull flag or it could be a top."

Steven explains the origin of his core strategy, which is built on human nature rather than indicators. The pattern: a stock drops from $10 to $1, sits dead for months, then gaps back up toward $7. The natural human reaction — 'I can finally get out even' — causes trapped holders to sell en masse at the open. Knowing this, Steven positions short into that selling pressure, anticipating a 20%+ drop as the panic cascades. He then refined the setup with statistics: filtering by market cap range ($10M-$100M), float size, volume thresholds ($50M-$200M), and measuring the average percentage decline down to the decimal point. The strategy originates from psychology; the statistics convert the insight into an executable edge.

"Strategy comes from human nature. Originally the strategy comes from human nature. So let me give you example. Let's say you bought a stock at $10. Stock drops to $1. After six months stock gapped up to $7. Your instant reaction is to sell at open. 99% of the time, people want to cut their losses even. So I'm in there knowing you going to sell, I will place myself in a short positions."

Steven explains a major challenge of small-cap trading: historical data is often corrupted by reverse splits, dilutions, warrants, and ticker name changes. A stock that did 16 reverse splits will have completely distorted historical float and market cap data, making accurate backtesting nearly impossible with standard tools. His solution: he has manually tracked data for 10 years, recording live data on the date it occurs so he knows exactly what the float was. Even live, five different data sources (Finra, Bloomberg, Dilution Trackers) will give five different float numbers — a problem he still hasn't found a perfect tool to solve. For traders serious about small caps, building a clean, manually-tracked dataset is the only reliable foundation.

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."

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."