Gaspieldsd

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How do you identify tops and bottoms?
As soon as you see a Chinese person say, “Watch how I lose,”
it’s basically at the top.
#NASDQ
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Pick one of the three—surely you didn’t end up with the shittiest one again, did you?
#ETH
ETH0.20%
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Did no one escape? How did the historical “Three Military Levies of the Late Ming” squeeze everyone from the wealthy down to the lower classes?
The “Three Military Levies of the Late Ming” refers to the collective name for three additional military taxes imposed by the imperial court during the Wanli to Chongzhen periods of the late Ming, on top of the regular taxes (standard quotas): the Liao levy, the Suppression levy, and the Training levy.
These three additional levies placed an extremely heavy burden on the people, intensified class conflict, and became a “death knell” accelerating the co
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#BTC’s probability of being suddenly attacked has increased significantly
Liquidation alert 🙉🙉🙉
BTC0.14%
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Yesterday again, it produced a standard-deviation short return.
#Btc However, the near-term trading range is already very small, so we need to wait for a strong signal.
BTC0.14%
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If you lay a solid foundation in algebra, then calculus is just a matter of flooring the gas pedal—full speed ahead.
I can’t understand “can’t learn calculus even at 14.”
If they can’t, then first, their intelligence is below 90 (the average); second, it may be that purely Chinese textbooks add extra hardship; third, as mentioned earlier, getting stuck in understanding the fundamentals of algebra and algebraic thinking.
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Wang Hong asked Peking University’s School of Mathematical Sciences for a recommendation letter—why did it get ignored so coldly?
Obviously it’s because he didn’t send a gift. Because people in Guangxi don’t send gifts when going to school.
In general, people from southern areas don’t send gifts either. It was his first time coming to Shanhaiguan, so he had no experience.
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#BTC is clearly affected by some emotion premium, with gamblers wildly placing bets on short-term longs.
But micro liquidation resistance shows that here it hits a wall; below, liquidity instead begins to loosen—let’s wait and see what happens next.
BTC0.14%
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In investing and trading, the most taboo thing is discussing with people.
Why?
Because discussion doesn’t add any “probability” at all.
It only strengthens the biases in your mind. If there’s no entropy reduction, then discussion isn’t necessary either.
Some people say discussion increases perspectives. I admit that people can do that with each other— but it’s not required. Why?
If you’re proficient in AI, the perspective from which AI takes inputs can be tens of times the information dimensions of human beings, and that’s already comprehensive.
You get a few ordinary “smart guys” together to
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There are way too many trading masters on X, but in reality most of them are low-awareness country bumpkins.
For example, some “Li Masters” use some seemingly professional concepts:
“Yingting time,” “chaos theory,” “physics.”
They throw out a set of terms—but if you ask these bumpkins to explain the mathematical formulas that these theories model, they don’t understand.
These terms come from legitimate science, but not being able to read the formulas also means they can’t understand the “application boundary conditions,” and they can’t translate it into computable code.
This is a “fake knowled
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All short-term options are currently betting on #BTC rising.
But on Monday, before the market opens, all positions are handled as if they’re based on false momentum!
BTC0.14%
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Chasing a “God” influencer is itself a bumpkin behavior;
What is a bumpkin?
- Short-sighted, not making long-term plans, and having no real goals or vision
- A bumpkin can have very flashy titles, but it doesn’t mean they have professional ability or professional barriers
- A bumpkin is a political science expansion of the idea of a “makeshift crew”
- It comes from Li Xikun—referring to the moment when a leader, looking bright and polished and draped in Tsinghua Harvard or big-company titles, calls out shallow political stances/opinions; the small-bumpkin voters in the audience then blindly fo
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Buying a building (real estate) on a plot of land as an asset is really laughable—especially in China, where a random landslide or a dam breach could wipe it out to zero.
If you invest in a US stock index, the internal complexity creates system redundancy, which is actually very resilient. Even if a few companies fail, because the index uses dispersed weights, it can be repaired quickly, showing excellent robustness through volatility and restructuring.
Can an index wobble, get restructured, and have its price recover—but can a fallen house be restructured and repaired?
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Fitness people are considered one of the few “normal” groups among Chinese people.
To get results from working out, the first step is to lose fat scientifically. To lose fat scientifically, you need to understand nutrition. And once you understand nutrition, you must give up TCM wellness and the unhealthy dietary habits of “old-school TCM.”
A scientific diet—especially one that includes lots of protein—rejects those old-school TCM practices: high-carbohydrate, high-sugar, and high-salt meal habits advocated by older generations, and Chinese food made through heavily processed, high-tempera
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At this point, if you’re still bullish on #ETH, just wait to get your head blown off.
ETH0.20%
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Chinese people are extremely anxious—so anxious that employment for those aged 30+ is discriminated against:
Actually, by modern human standards, the prefrontal cortex is fully developed before age 30—only then are you a true adult in the real sense;
many people “politically awaken,” “gain philosophical insight,” and “wake up” at around 30,
which happens to line up with the stage when the prefrontal cortex is developing.
Age 30 is actually the right time to do a lot of things.
The reason Chinese people discriminate against those aged 30 is that the overall social environment is squeezing peopl
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Hard to imagine—someone from an ordinary family, with poor self-control, lazy thinking, lacking both emotional and social intelligence, and glued to their phone all day, becomes a trading guru once they enter the crypto space.
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The primitive mindset traders have about trading is often wrong.
For example, “frequent trading will always lead to losses.”
“Always leads to losses” is 100%—a linear cause-and-effect description.
Let’s break it down:
Assume that each trade uses optimization inputs to analyze all signals and trade costs.
Assume that the expected profit per trade is far greater than fees + potential losses + a high probability of winning.
If you repeat this kind of optimized trade at a higher frequency, is that not positive expected value?
If the optimization works, you should trade even more freq
BTC0.15%
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Paramecium, diode
I tell you, no matter what timeframe you trade, you only need to satisfy
Positive Expectation = [Average Profit - Average Loss - Friction Costs]
These three factors. As long as the result after subtraction is positive, you make money. Making money means controlling these three elements.
So, how do you stay positive in the long run?
It inevitably requires quantification/systematization. If full automation is impossible, at minimum you need AI + human-machine collaboration. AI generates high-quality signals that directly intervene in the above formula's [Average Profit = Win Ra
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Michael Saylor’s true form revealed.
#BTC #BITCOIN
BTC0.15%
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