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[Red Envelope] Attack and Defense Practical Tips — Quantitative Cognition Series [Cognition Edition]
Starting off with a few words: What exactly is quantitative trading? What has it done to the short-term ecosystem?[Taoguba]
The quantitative trading you criticize might be different from what you imagine.
Bro, have you been hearing things like this lately:
“It’s the quant that smashed the market again!”
“A good theme got ruined by quant in just two days.”
“This market is impossible to trade; it’s all robots playing.”
To be honest, I’ve criticized it too. But what happens after the criticism? Quant will rise if it needs to rise, and will fall if it needs to fall; it doesn’t hear your complaints.
Quant is not a specific enemy; it’s a result of market evolution. It already exists and will exist for a long time, with its proportion likely increasing. Instead of cursing and resisting, it’s better to understand it, embrace it, and leverage its momentum.
In this piece, we will not criticize quant but calmly look at: What exactly is quantitative trading? What has it done to the short-term ecosystem? How should we view it?
1. Quant is not “one person,” but a collection of strategies
Many people imagine “quant” as a huge opponent, as if there is a “quant powerhouse” controlling everything. This is a misunderstanding.
Quant is not one person but a collective term for thousands of strategies. Different quant strategies behave completely differently:
- High-frequency quant: Profits from tiny price differences, holding periods measured in seconds, with little impact on individual stock trends.
- Medium-frequency quant: Engages in intraday or overnight swings, being the main creator of short-term fluctuations.
- Low-frequency quant: Operates over a few days to weeks, similar to trend following.
- Fundamental quant: Selects stocks based on financial reports, valuations, etc., with longer holding periods.
- CTA quant: Deals in futures, options, and other derivatives, with limited direct impact on stocks.
They can even compete against each other. Some quants do trend following, while others engage in reversal arbitrage, making them opponents in the market.
So, when you criticize “quant smashing the market,” it might just be one type of quant strategy hitting the stop-loss, while another type of quant could be buying in low. Quant is not a monolith; it is also fragmented internally.
2. What kind of money does quant make?
Many people think quant is just about “cutting leeks.” This statement is too simplistic.
The money quant makes is essentially from several types of “premiums” provided by the market:
- Liquidity premium: Quant earns from providing buy and sell orders, profiting from the bid-ask spread. It is a “service provider” to the market.
- Volatility premium: Quant profits by capturing fluctuations, buying low and selling high. The greater the volatility, the more they earn.
- Trend premium: Trend-following quant earns from following trends, profiting from trend continuations.
- Mispricing: Quant earns from quickly correcting mispricing, profiting from information asymmetry.
In other words, quant acts as a “service provider” and “arbitrageur” in the market, not a “predator.” It provides liquidity, enhances pricing efficiency, and profits from these services.
You might think it’s “cutting you,” but if you stand on its side, it might also “help you” lift the load.
3. What has quant changed in the short-term ecosystem?
Quant did not appear overnight; its impact has been gradual. By comparing the “past” and the “present,” we can see the changes it has brought.
3.1 Speed of theme discovery
In the past: A news event would rely on people to dig, forums to ferment, and funds to slowly build positions. This process could take several days, giving retail investors enough time to catch up.
Now: Quant can complete the digging in seconds after news breaks using NLP, sentiment monitoring, and automatic announcement interpretation. By the time you see the news, quant has already completed its first round of positioning.
This doesn’t mean the theme cycle has been fixed and shortened, but rather that the intermediate process has been compressed. During good market conditions, themes can still last for a long time; but regardless of how long they last, the initiation phase is much quicker than before.
3.2 Methods of speculation
In the past: Funds would enter in batches; first, there would be a leading stock, then followers, and the sector effect would slowly spread.
Now: Quant does not “speculate on one stock,” but rather “speculates on a group.” It will simultaneously buy dozens of stocks in a sector, pushing the entire sector up instantly with its funding advantage.
This means it’s hard to make money by “digging for a second wave” because quant has already lifted the entire sector at once. You either catch the first wave or you won’t find comfortable entry points.
3.3 Characteristics of volatility
In the past: Intraday volatility was relatively gentle, with hesitation and repetition in the minute-by-minute chart.
Now: The minute-by-minute charts created by quant are often marked by “straight-line surges, straight-line drops, and frequent reversals.” This is due to algorithmic order splitting, conditional order triggering, and programmed stop-losses.
This change in volatility characteristics has a huge impact on short-term traders—you may need to relearn how to “observe minute-by-minute support” because the way quant supports differs from human behavior.
3.4 Amplifying emotional effects
Quant itself has no emotions, but its behavior can amplify the emotions of retail investors:
Quant does not manipulate emotions; it amplifies them. It acts like a mirror, doubling back the greed and fear of retail investors.
4. The impact of quant on theme speculation (Key Point)
Many short-term traders are most concerned about: Quant has ruined theme speculation; what should we do?
We need to look at this issue objectively.
4.1 Accelerated discovery speed
Quant can complete the digging in seconds after news breaks. This means that when you see the news, quant has already completed its first round of positioning.
But does this mean retail investors have no opportunity? Not necessarily. After quant digs, there still needs to be follow-up funding to carry the torch. If the theme is big enough and the market environment is good enough, follow-up funds (including other quants, speculative funds, and retail investors) will continue to push higher, and you still have a chance to participate.
The key is not “quant stole the early bird,” but “can you keep up in time after quant starts.” This tests your reaction speed and ability to identify signals.
4.2 The phenomenon of expectation overdraft
Due to speed and concentrated funds, quant can quickly saturate the expectations of a theme in a short time. The same expectations that might have taken several days to digest in the past can now be completed in a shorter time.
But this doesn’t mean the theme will necessarily end. If the market environment is good and the theme is significant, the quant’s “overdraft” can be digested by follow-up funds, allowing the theme to continue to develop. Only in poor market environments will quant’s overdraft lead to a rapid end of the theme.
Thus, the ultimate length of a theme depends on the market environment and the level of the theme itself, not simply “quant came and it got shorter.” However, it’s important to understand that quant has accelerated the operational cycle of themes, which is an objective reality that is hard to change.
4.3 The role of quant: Catalyst, not decider
The role of quant in theme speculation is more like a catalyst:
The length and height of a theme are ultimately determined by the overall market environment (index, trading volume, emotional cycle) and the level of the theme itself (policy strength, imagination space, performance realization).
In other words, when quant comes, the theme remains the same; it’s just the rhythm that has changed faster.
5. Common misunderstandings about quant
Misunderstanding 1: “Quant is here to harvest retail investors.”
Fact: Quant harvests “insufficient liquidity” and “mispricing.” If you provide liquidity (for example, your orders get executed), you get harvested; if you create mispricing (for example, emotionally chasing high), you also get harvested. But if you stand on the side of quant, it can also help you lift the load.
Misunderstanding 2: “Quant causes market declines.”
Fact: Quant is neutral. In a bull market, quant aids in rising; in a bear market, quant aids in falling. It does not determine the direction, only amplifies it.
Misunderstanding 3: “Quant cannot be defeated.”
Fact: Quant also has losing periods and times when strategies fail. When the market style changes, certain quant strategies can incur consecutive losses. Quant is not invincible.
Misunderstanding 4: “Quant is a short-term phenomenon.”
Fact: The proportion of quant will only increase; this is an irreversible trend. Just like how computers replaced manual trading years ago, this is a result of market evolution.
6. Summary of this article
Writing to this point, we can summarize a few core understandings:
In conclusion: This article does not recommend any stocks and does not present any “secrets to defeating quant.” It simply helps you establish an objective understanding of quant. Understanding is the first step; if more people read it, I will continue to update subsequent content. I hope you can set aside your emotions and view this phenomenon rationally.
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