Yihua has now "broken even" on their 626,574 ETH holdings, recouping all unrealized losses

By: theblockbeats.news|2026/01/03 14:46:05
0
Share
copy

BlockBeats News, January 3rd. According to AI Grandma's monitoring, an institution under Yiliahua conducted a 46,036.72 ETH replenishment on the day of the price drop on December 29th, reducing the on-chain average holding cost to $3,105.5. Currently, they have just recovered from a $110 million unrealized loss and reached the break-even point.

You may also like

WEEX Global AI Trading Hackathon Kicks Off: $1.88M Prize Pool Powers the Next Generation of AI Trading Champions

WEEX Labs, the innovation arm of WEEX, a leading global crypto exchange serving over 6.2 million users across 150+ countries, is set to kick off the preliminary round of its flagship global AI trading hackathon, AI Wars: WEEX Alpha Awakens, on January 12, 2026. Backed by the strong support of world-class sponsors including Amazon Web Services (AWS), the total prize pool has surged from $880,000 to an unprecedented $1,880,000, positioning AI Wars among the largest AI trading hackathons in the crypto industry. At the top of the leaderboard awaits an extraordinary champion prize — a Bentley Bentayga S, already on standby in Dubai, ready to be claimed by the ultimate AI trading victor.

2025 Market Prediction Retrospective: Total Transaction Volume Exceeds $50 Billion, Duopoly Market Share Exceeds 97.5%

Predicting that the total annual market trading volume will exceed $500 billion, Kalshi and Polymarket collectively capture over 97.5% of the market share, formally establishing a duopoly.

Pentagon Pizza Index Soars 1250%: Who Will Be the Next Venezuela?

Meanwhile, the Prediction Market and Meme have already priced in the risk: the relevant probabilities for Greenland, Cuba, Colombia, and Iran are rapidly increasing.

From Theory to Live Markets: AOT Matrix’s Dual-Brain System in WEEX AI Trading Hackathon

In crypto markets — one of the most unforgiving non-stationary systems — strategy failure is rarely caused by models being too simple. It happens because most strategies are never truly exposed to live-market pressure. This is exactly the problem WEEX AI Trading Hackathon is designed to surface — shifting the focus from theoretical innovation to real deployability, real execution, and real performance. Among the participating teams, AOT Matrix stood out with advanced AI-driven quantitative capabilities. Through its V4.4 dual-brain architecture, the system achieved end-to-end optimization — from core logic to execution — reflecting the platform’s dual emphasis on innovation and real-world performance.

Predicting Contrarian Buy Pressure in the Market: Who is Taking the Other Side of Your Trade?

Predicting those seemingly "sure-to-lose" Yes bets in the market is not a case of dumb money giving away freebies. This so-called counterintuitive behavior is more like a market structure upheld by incentive mechanisms and strategic gameplay.

$250 Billion, 6723 Rounds of Funding: Where Did Crypto VCs Invest in 2025?

Encryption is moving from a single narrative to a long-term track with three parallel developments.

Popular coins

Latest Crypto News

Read more