Latest / The Day Trading Podcast with Fexingo: Active Trading, Charts, and Short-Term Market Strategy / Why Market Makers Profit From Your Panic
Transcript
- Lucas: Look at the tape right now. The Nasdaq is down five percent over the last five days, and the VIX has spiked nearly twenty-one percent. Most people see that as panic selling, but if you watch the order flow on a tick-by-tick basis, it looks less like fear and more like extraction. Luna: Extraction of what? Just volume? Or are they pulling liquidity out of specific names? Lucas: They are pulling liquidity out of where retail traders place their stops. We have seen this pattern repeatedly with names like Oracle and Rivian this week. When the price dips into a support level that everyone can see on a daily chart, there is a massive cluster of sell orders sitting just below it. That is not noise; that is fuel for the algorithm. Luna: So the market maker isn't necessarily betting against the company, they are just harvesting the inevitable liquidation of those stop losses. Lucas: Exactly. And here is the concrete detail most listeners miss: it is not about the direction of the stock long-term. It is about the speed of the fill. If you set a hard stop loss at a round number like one hundred dollars, the algorithm knows that liquidity pool exists. It will push the price down to ninety-nine point eight, trigger your sale, capture that share at a discount, and then let the price bounce back up. You sold low, they bought cheap. Luna: That feels predatory, but it is just math. They are providing liquidity when everyone else wants to exit. Lucas: It is predatory in effect, even if neutral in theory. The problem is that retail traders treat technical levels as sacred ground. But in a low-liquidity environment, like we are seeing in the small-cap space today, those levels are basically open invitations. Look at the RUT index. It is barely down half a percent, but individual small caps are getting hammered because there is no depth behind them to absorb the sell pressure. Luna: So if I am trading a name like Tempus AI or CrowdStrike, which were moving heavily yesterday, I should assume any obvious support level is going to be tested aggressively before it holds. Lucas: You should assume it will be tested. The question is whether you want to be the liquidity provider or the liquidity taker. If you are using limit orders, you are the provider. You sit on the book and wait for someone to hit you. If you are using market orders or stop losses, you are the taker, and you are paying the spread plus the slippage cost. Luna: I have noticed that during these VIX spikes, the spreads widen significantly. Does that make the hunt worse? Lucas: It makes it exponentially worse. When volatility rises, market makers widen their quotes to protect themselves from inventory risk. So instead of a tight two-cent spread, you might see a ten-cent spread. That means the price has to move further in your favor just to break even. It raises the barrier for every single trade you take. Luna: So the cost of doing business goes up for everyone, but the algorithms are still faster. How do we adjust our positioning when this happens? Lucas: We stop trying to predict the exact bottom. We start looking for confirmation. Instead of buying the dip at a round number, we wait for the price to reclaim that level. If it breaks ninety-nine point eight and stays there, we know the liquidity grab happened. We don't chase it. We wait for the retest from above. Luna: That requires a lot of patience. Most traders hate waiting because they feel like they are missing the move. Lucas: They are missing the trap, not the move. The real money is made in the recovery after the flush. If you can resist the urge to catch the falling knife, you avoid the worst part of the drawdown. Let me pause here for a second. If our conversations about market structure have helped you navigate these volatile weeks, I would appreciate your support. It keeps this show ad-free and allows us to dig into the data like this. You can buy me a coffee at buy me a coffee dot com slash fexingo — that's F. E. X. I. N. G. O. Luna: Yeah, it really helps to have this kind of granular breakdown without the usual hype cycle. Thanks for keeping it straightforward. Lucas: Back to the tape. So if you are adjusting your strategy for this high vix environment, you also need to look at the options market. The skew is telling us something very specific about where big players are hedging. Luna: Are they buying puts or are they selling calls to generate income? Lucas: They are doing both, but the put skew is steepening. This means demand for downside protection is rising faster than demand for upside leverage. In practical terms, this suppresses the price of puts relative to calls, making it cheaper to hedge. Smart money is paying less to insure their portfolios right now. Luna: Does that mean they expect a crash, or just that they want cheap insurance? Lucas: Usually it means they expect chop. A clean crash drives implied volatility up, which makes options expensive. If IV is low but skew is high, it suggests they think the market will grind lower or stay range-bound, but not explode upward. It is a defensive posture. Luna: So for a day trader, that means the upside rallies might be weaker than the downside drops. The path of least resistance is down. Lucas: Precisely. And that changes your setup criteria. You stop looking for bullish reversal patterns and start looking for bearish continuation patterns. If a stock bounces off support, you don't assume it will hold. You assume it will fail, because the options flow is saying there is more protection being bought than growth being anticipated. Luna: That is a huge shift in mindset. Most traders default to hope when they are underwater. You are saying we need to default to probability. Lucas: Probability always wins. Hope is just a narrative we tell ourselves to justify holding a losing position. When the VIX is twenty-one, hope is expensive. You pay for it in slippage and emotional stress. Luna: Let's talk about the specific case of Rivian again. It dropped hard earlier this week. What did the order flow say during that decline? Lucas: The order flow showed massive absorption on the bid side, but no aggressive buying. It looked like passive limit orders catching the falling shares. Then, suddenly, a large market sell order swept through those bids, clearing out the liquidity, and the price gap down. That was the extraction event. Luna: So the sellers weren't necessarily dumping all at once. They were letting the market come to them, picking off the weak hands first. Lucas: Right. They were hunting. Once the stops were triggered, the float effectively reduced because the holders who were willing to sell at higher prices had already exited. The remaining shares were held by people who were either trapped or committed, which actually made the subsequent bounce easier. Less supply means less friction on the way up. Luna: That is counterintuitive. Usually, more selling pressure means a harder bounce. Here, the selling cleared the board. Lucas: It clears the immediate resistance. But you have to be careful. If the fundamental thesis is broken, the bounce is just a dead cat bounce. You need to distinguish between a liquidity-driven move and a value-driven move. In Rivian's case, the volume profile suggested it was purely liquidity-driven. The fundamentals didn't change in four hours. Luna: So we trade the liquidity, not the news. As long as the news hasn't changed, the technical structure is all that matters. Lucas: For day trading, yes. News is lagging. Price action is leading. If the news were truly bad, the pre-market volume would have reflected it hours ago. The fact that the move happened during regular session hours suggests it was driven by intraday dynamics, not external shocks. Luna: That gives us a clearer filter. Ignore the headlines, watch the tape. What about the broader market indices? Is the S&P 500 showing similar signs? Lucas: The S&P is more stable, but it is diverging from the Dow. The Dow is down less than one percent, while the S&P is down over two percent. This divergence is important. It suggests that industrial and financial stocks are holding up better than tech. The liquidity drain is concentrated in the growth sector. Luna: So capital is rotating out of tech and into value? Or is it just leaving tech temporarily? Lucas: It looks like a temporary rotation. The volume in the Dow components hasn't spiked nearly as much as in the Nasdaq names. This implies that the money is staying in the system, just moving to different buckets. That is a sign of resilience, not capitulation. Luna: So we shouldn't read the S&P drop as a systemic failure, but as a sector-specific adjustment. Lucas: Correct. And that gives us opportunities in the sectors that are holding steady. If you are trading the Dow components, you can ignore the broader panic and focus on the internal strength of those names. The market makers are likely less active in those names because the volatility is lower, so the spreads are tighter. Luna: Tighter spreads mean better execution for us. So we pivot to the stable names and avoid the volatile ones. Lucas: Exactly. You go where the liquidity is deep and the friction is low. Right now, that is not in the meme stocks or the speculative AI plays. It is in the established industrials and financials. It is boring, but it is profitable. Luna: Boring pays the bills. Excitement loses them. It seems like the key is discipline in a chaotic environment. Lucas: Discipline is the only edge you have left. The algorithms will always be faster. The only thing you can control is your response to the noise. If you stick to your plan, respect the order flow, and avoid the traps, you will survive this volatility. And when it passes, you will still be here to trade. Luna: So the lesson is to slow down, watch the tape, and let the market makers exhaust themselves before we step in. Lucas: That is the strategy. Wait for the flush, confirm the retest, and enter when the path of least resistance becomes clear. It takes time, but it beats getting run over every morning.