Hot take 🔥
The 18th and 19th are about to be unified.

What Is the Bid-Ask Spread? Why Can an Apparently Small Spread Keep Affecting Returns from High-Frequency Trading and Frequent Entries and Exits?

In cryptocurrency trading, many people focus only on price movements and overlook the spread between buying and selling. Even when the market price does not change noticeably, traders may still incur costs from the bid-ask spread and fees. The more trades they make, the more these costs matter.

First, what is the bid-ask spread?

The bid-ask spread is the difference between the current lowest ask and highest bid. For example, if the highest bid for

Why does the same trading strategy make money in a bull market but keep losing in a sideways market?

Many traders have had this experience: the same trading strategy generates consecutive profits in a bull market, but starts triggering frequent stop-losses when the market enters a sideways phase. What exactly is going wrong?

First, the market structure has changed. Bull markets usually have a clear upward trend, with prices readily forming successively higher highs and lows, making it easier for trend-following strategies to capture market moves. In sideways markets, however, prices often fl

The DAO vote passed—what comes next? The execution mechanism is what truly determines governance quality

In the Web3 world, DAOs are often seen as an important form of decentralized governance.

Proposals can be discussed publicly, community members can participate in votes, and funds can be managed according to established rules. But one question is easy to overlook:

Does a proposal receiving majority support mean it will definitely be executed effectively?

The answer is no.

The quality of a DAO’s governance depends not only on who has voting rights, but also on how proposals are develope

tell ur agent my agent said hi

Why Can You Still Lose Money Even When AI Predicts an 80% Chance That BTC Will Rise?

More and more traders are starting to use AI to analyze cryptocurrency markets. Some models may even predict an 80% chance that BTC will rise and a 20% chance that it will fall. But one easily overlooked point is that a high probability forecast does not mean a trade is guaranteed to make money.

First, an 80% probability forecast does not mean the price is certain to rise. It usually means that, under similar historical conditions, the model estimates a higher probability of an upward move. If the model has

Stablecoins Are Not Bank Deposits: 4 Differences You Need to Understand Before Using Them

In the Web3 world, stablecoins are often used for trade settlement, cross-border transfers, on-chain payments, and decentralized finance.

Because many stablecoins are pegged to the U.S. dollar, many users assume that as long as the price stays close to $1, they are much the same as the dollars in a bank account.

But there are several important differences between the two.

First, a price peg is not a guarantee of principal.

Stablecoins typically use reserve assets, redemption mechanisms, or other desi

#晒出我的持仓收益 I don't make hindsight calls.
Still holding a core position in ETH!
There are many ways to trade. Keep improving your understanding—this market is the ultimate reflection of human nature!!!

What Is an Iceberg Order? How Can It Hide Part of an Order’s Size and Reduce the Visible Market Impact of Large Trades?

In cryptocurrency trading, placing a very large order directly on the order book may allow other market participants to infer the trader’s intentions, affecting prices and execution conditions. Iceberg orders reduce how much of the full order is exposed at once by displaying only part of the order size and replenishing the displayed quantity after it is filled.

First, how do iceberg orders work?

Suppose you plan to buy 100 BTC but display only 10 BTC at a time. Once the di

Why Can a Strategy Perform Well in Backtests Yet Keep Losing Money Live?

A trading strategy may have a high win rate in backtests, a steadily rising return curve, and a seemingly acceptable maximum drawdown.

But once deployed in the real market, the results can be completely different: trading costs keep accumulating, actual execution prices deviate from expectations, several trades in a row lose money, and the once-impressive return curve gradually loses credibility.

Where exactly does the problem lie?

Backtesting evaluates a strategy’s performance under specific historical data and assum

Everyone says CPI crushed BTC to 73,000. But whales were already selling before CPI was released.
Over the past week, large addresses cut their holdings by more than 34,000 BTC, and the price slid from 79,000 to below 73,000. At the same time, Ethereum whales kept trimming their holdings, selling about 17,800 ETH over the week. At recent prices, that was worth about $40 million.
BTC whales are dumping in plain sight; ETH whales are quietly exiting.
CPI just turned selling from “orderly” into a “stampede”: $632 million liquidated in 24 hours, including $511 million in longs, while the probabili

Understand DeFi Protocols: Don’t Just Focus on APY—Where Do Returns Come From, and Who Bears the Risk?

In DeFi (decentralized finance), one question is easy to overlook: when a protocol advertises an attractive annual percentage yield, where exactly does that yield come from?

APY is simply a way of displaying results; it does not, on its own, prove that a protocol is worth participating in.

To assess whether a DeFi protocol is sustainable, consider these four aspects.

1. Where do the returns come from?

Returns may come from interest paid by borrowers, trading fees, liquidity incentives, o

BTC: 74,400–75,000 stop-loss
Consider going short
You can open a small starter position at the current price
Take profit at 73,300–72,700–72,300–72,000
Note: These are my personal views and may not suit everyone. Adjust manually to fit your own position.
Reminder: Anyone focused on scalping or quick profits, please ignore my posts. I only trade longer-term trends. I range-trade BTC within a 2,000–3,000-point range and ETH within a 200–300-point range. This is not the same as what people mean by holding through a losing position.
When you have conviction in a downward or upward channel, give yo

The last reason to get Uncle to renew GPT is almost gone
Seedream 5.5-generated images surpass Image 2.6 in both realism and aesthetics

Why Does Higher Leverage Leave Less Room for Trading Errors?

In crypto futures trading, many people hope to amplify returns by increasing leverage, but overlook another fact: the higher the leverage, the less able an account is to withstand adverse price movements. A seemingly ordinary pullback can put a highly leveraged position at serious risk.

Suppose you open a position using the same margin and ignore fees, funding rates, and other factors. A 1% adverse price move would correspond to a return of about -5% on initial margin at 5x leverage, about -10% at 10x, and about -20% at 20x. This i

75411 top signal—I wrote it a day in advance! Both BTC short targets fully hit
This morning’s strategy was clear: short at 75500–75800, stop-loss at 76200, targets at 74200–73800
The market gave its answer: the high of 75411 met precise resistance; prices then drifted steadily lower, fully hitting the targets.
The entry was accurate down to the last digit, and the direction was right for the entire move. That’s what “make the call first, then wait for the price to come to you” means.#BTC #美国10月CPI全面超预期

Model launches these days aren’t even pretending anymore—they’re slapping the bill for “cost-cutting and efficiency” and “scaling up compute” right in users’ faces!

Google just made Gemini 4 Carbon, billed as its most powerful reasoning model, broadly available to paid developers and enterprises, and Perplexity quickly announced it was following suit. But honestly, what’s most worth thinking about in this launch isn’t the benchmark scores everyone’s been talking about—it’s the real business savvy hidden in the pricing and usage mechanics.

Everyone noticed Google’s advertised introductory pri