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AgentLISA tops the x402scan hot list, AI-driven smart contract security enters a period of rapid growth
AgentLISA tops the x402scan hot list, AI-driven smart contract security enters a period of rapid growth

AgentLISA's mission is to address this long-standing pain point in a real-time, scalable, and automated manner.

ForesightNews·2025/12/01 15:23
Japan Ends Zero Interest Rate Policy: Risk Assets Face Their Worst Fear, the "Liquidity Turning Point"
Japan Ends Zero Interest Rate Policy: Risk Assets Face Their Worst Fear, the "Liquidity Turning Point"

From stocks and gold to Bitcoin, no asset can stand alone.

BlockBeats·2025/12/01 13:25
After the Tide Recedes: Which Web3 Projects Are Still Making Money?
After the Tide Recedes: Which Web3 Projects Are Still Making Money?

Most of them revolve around two things: trading and attention.

深潮·2025/12/01 11:46
Why is HYPE not a good investment target right now?
Why is HYPE not a good investment target right now?

Buybacks have always been a key mechanism supporting the price of HYPE; however, future token unlocks should not be overlooked.

深潮·2025/12/01 11:46
Looking at crypto Twitter, there is no longer a profit-making effect.
Looking at crypto Twitter, there is no longer a profit-making effect.

Looking at Crypto Twitter, there is no longer a profitable effect.

深潮·2025/12/01 11:46
When the market falls into extreme fear, who is buying the dip against the trend?
When the market falls into extreme fear, who is buying the dip against the trend?

For active traders: In the current volatile market, consider taking small long positions near support levels and reducing positions or considering short positions near resistance levels. Always set stop-loss orders for all trades.

深潮·2025/12/01 11:45
Flash
06:31
A trader lost over $2 million in 35 days by relying solely on "consensus perception" for predictions.
BlockBeats News, January 5, according to monitoring by Lookonchain, trader "beachboy4" lost more than $2 million on Polymarket in just 35 days. By analyzing his trading records, it was found that this trader relied on his own "consensus cognition," that is, predicting outcomes solely based on what the majority believes to be highly probable events. Statistics show that he participated in 53 predictions within 35 days, and although his win rate was as high as 51%, he never set exit strategies or hedging strategies for the predictions he participated in, resulting in "most of his losing positions being held until they went to zero, or the price had already plummeted long before settlement."
06:30
A trader who relied solely on "consensus cognition" to participate in prediction markets lost over $2 million in 35 days
BlockBeats News, January 5th, according to LookIntoChain monitoring, trader "beachboy4" lost over 2 million USD on Polymarket in just 35 days. By analyzing his trading records, the trader relied on his "popular consensus cognition," meaning he predicted based solely on the likely outcome that most people believed in. According to statistics, he participated in a total of 53 predictions in 35 days, with a win rate as high as 51%, but he never set exit strategies for his predictions, nor did he set hedge strategies, resulting in "most of the losing positions being held until they went to zero or the price had already plummeted long before settlement."
06:28
Polymarket trader "beachboy4" lost over $2 million in 35 days
PANews reported on January 5 that, according to tracking and analysis by Lookonchain, a trader named "beachboy4" made 53 prediction trades on Polymarket within 35 days. Despite a win rate of 51% (winning 27 trades), he ultimately lost over $2 million. His largest single profit was $936,000, while his largest single loss reached $1.58 million. On average, each trade involved a bet of about $400,000, indicating high-risk behavior. This address bought into the "consensus direction" in multiple trades at high prices ranging from 0.51 to 0.67, creating an extremely poor odds structure of "limited upside + full downside." He did not use stop-loss, hedging, or early profit-taking features, resulting in most losing positions going to zero. In addition, this trader frequently made all-in bets on "high-confidence" events in highly transparent and efficient markets, such as NBA or popular football teams. The eventual losses were not due to bad luck, but rather to a structurally unbalanced strategy. Lookonchain summarized five practical lessons: avoid entering at high prices, control single-trade risk, take profits and cut losses in a timely manner, evaluate risk-reward ratios, and avoid markets where you have no edge.
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