Polymarket’s annualized revenue run rate surpasses $1.8 billion: The next crypto super-sector may not be the next coin!

In the past, the Crypto community loved to discuss when Bitcoin would reach $100k and which Meme coin could soar 100-fold. Unexpectedly, the most profitable story now may be predicting what Trump will do next.
Polymarket’s annualized revenue run rate has surpassed $1.8 billion, while the US platform’s nominal trading volume exceeded $14.5 billion in October. These figures send an important signal: prediction markets are moving from a niche Crypto experiment to a new battlegr

Machi(@machibigbrother) is dumping his Bored Apes to fund leveraged long positions!
In the past week alone, he sold 31 Bored Apes at a loss for 231 $ETH ($506K), but lost it all trading.
He now has just 75 Bored Apes left.

Bitcoin’s wick this time was incredibly precise! 🤣
$BTC
The intraday low today was $73,138, while the 200-day moving average was right around $73,118. Just $20 apart! It’s as if someone measured it with a ruler! Even more interesting, as soon as the price touched that area, it quickly bounced back and is now above $73,700 again.
#美国10月CPI全面超预期
I have to say, this price action really does have the feel of a major player precisely controlling the market! The past few days have been brutal, and the 200-day moving average has been tested repeatedly. Now we’re finally seeing some decent resistan

Let’s have lunch, friends. Today’s lunch is fried dumplings, egg tart, and boiled eggs. What are you all having for lunch? The weather is starting to get cold, so take care of yourselves. 😆
Let’s have lunch, friends. Today we’re having fried dumplings, egg tart, and boiled eggs. What did everyone have for lunch? It’s getting cold, so keep warm.

Anthropic core IPO terms (filing updated November 10); you can choose to participate in this relatively safe event 👀
IPO price range: $70–$78/share
IPO proceeds: approximately $57.55 billion–$64.35 billion
Fully diluted valuation: up to approximately $1.404 trillion
Base valuation: around the $1 trillion level
Expected pricing: November 18
Expected trading start: around November 19
Exchange: Nasdaq
Ticker: ANT
Target allocation for retail investors: approximately 20%
The above is my personal opinion, for reference only.

Many futures traders have had this experience: they correctly predict the overall market direction, but a brief, sharp price swing suddenly liquidates their positions.

Why does this happen?

First, excessive leverage is the most common cause. The higher the leverage, the greater the impact of price movements on margin. Even a brief move in the opposite direction can quickly hit the liquidation price.

Second, market liquidity affects actual execution. When a large number of sell or buy orders suddenly enter the market, the order book can thin rapidly, making price swings even more volatile.

Ethereum plunged from 2250 to 2003, shedding $250 in two days. How many long positions got caught halfway down? But have you noticed? After hitting 2003, it didn’t keep crashing. It moved sideways for a day and a half and is now holding steady at 2062
2-hour: EMA15 at 2073, EMA30 at 2106, EMA60 at 2156. The bearish alignment is unchanged, and the trend is still down. But watch two details: TD has flipped to 4, and the TD Sequential is building a rebound signal; MACD’s decline is losing steam
15-minute: EMA15/30/60 are clustered around 2058-2061, with the price at 2062 riding above the moving a

$ICP
UPDATE
#ICP is getting a good support here. In this move we can see 40%+ gain here ✍🏻
#ICPUSDT #ICPBTC #Bitcoin #NFTs

costco back at range highs wow
special dividend incoming

In BTC trading, many traders have had this experience: the price suddenly breaks through an important resistance level, and they think the uptrend has finally begun, so they immediately enter by chasing the rally. Before long, however, the price quickly falls back into its previous range, or even triggers their stop-loss directly. This phenomenon is commonly called a false breakout.

So, how can you identify a false breakout?

First, watch trading volume. A genuinely valid breakout usually needs to be supported by a certain level of trading volume. If the price breaks through a key level but v

Why does more frequent trading make it easier to underestimate the impact of costs on long-term returns?

When reviewing their trades, many traders focus only on buy prices, sell prices, and profit or loss, while overlooking a factor that continuously affects account performance: trading costs.

The cost of a single trade may seem small, but as the number of trades increases, these costs can gradually eat into an already limited profit margin.

I. A small cost per trade does not mean a small long-term impact

Suppose a trader pays an average of 0.1% of the trade amount in combined fees and sli

Stablecoins Are Not Cash: 4 Boundaries to Understand Before Using Them

Stablecoins are often seen as a bridge between traditional finance and the cryptocurrency market.

They can be used for trade settlement, on-chain transfers, DeFi applications, and cross-border value transfers. But many people overlook one issue:

A relatively stable price does not mean an asset is risk-free.

Before using stablecoins, there are four boundaries worth understanding.

1. A price peg does not mean you can always redeem at the target price

Stablecoins are usually pegged to an asset, such as the US dollar. But

Why might a trading strategy that performs well in backtests fail in live markets?

If a trading strategy has high historical returns and a good win rate, does that mean it is worth investing real capital in?

Not necessarily.

Some strategies perform well on historical data, but their returns drop significantly or they even incur sustained losses once they enter live markets.

The problem may not lie in the trading logic itself, but in the testing method, cost assumptions, or changes in market conditions.

I. Why can backtesting inspire confidence so easily?

At its core, backtesting applies

Should AI companies be in a hurry to make money? Turning a profit too early could mean missing the next trillion-dollar market!

If an AI company told investors it would focus all its efforts this year on expanding market share, without pursuing profits for the time being, would you support it?
If it said it would control costs, improve margins, and reduce large-scale investment, would you support that?
This is the strategic dilemma facing the AI industry.
Scale up or make money first?
My view is that for AI companies with a technological lead, sufficient funding, and genuine user demand, cont

What Will Truly Be Valuable in the Future Is Not the Most Powerful Model, but the Most Profitable AI Company

The AI industry is undergoing an important shift.
In the past, people debated whose model was the smartest, who could top the leaderboards, and whose models had more parameters.
Now, more and more investors are starting to focus on another question: Who can truly turn AI into a profitable business?
OpenAI's revenue growth and expanding enterprise business show that AI commercialization is accelerating. At the same time, costs for computing power, energy, R&D, and infrastructure are tes

These past few days have been one gut punch after another. I tried to buy the dip and ended up buying halfway down. I should just stick to short-term trades, around 3 a day, and pick things up again another day if I hit my stop loss. People can’t help getting attached to their so-called technical levels while ignoring what capital can do. When capital makes its opening move, it needs no reason: it goes wherever it wants, and rebounds whenever it wants. It moves so fast you can hardly believe it, shakes you so hard you can hardly believe it, or moves so slowly you just can’t accept it. There’s

Why Does a Larger Position Make It Easier to Lose Money in the Right Market?

In cryptocurrency trading, many people believe that if they have correctly read the market, they should increase their position as much as possible. After all, with the same price movement, a larger position means more profit.
But reality is often much harsher: sometimes, even when you correctly predict the market direction, an oversized position forces you out before the market actually takes off.
Why does this happen?
First, the larger your position, the more sensitive your account is to price fluctuations. Suppose