
从交易规则到实盘复盘,小龙先生分享自建 BTC 决策系统的开发经历。他希望逐步实现全天候交易,但现阶段仍在打磨决策能力,并通过小额测试发现问题。

Bitcoin market analyst Xiaolong discusses the trading rules behind AI decisions, the value of limited live tests, and the work still needed before his own BTC system can run around the clock.

A profit or loss figure cannot explain a whole trade. In XT’s AMA, 0x31ad.sun discusses the records needed to assess an AI tool’s decisions, execution, and response when conditions change.

Aaron.J explains how grid trading, copy trading, and AI agents shift decision-making, and why users need clear limits on trading access, funds, and when a system must stop.

Joël Valenzuela draws on his experience using crypto as daily money to explain why spending can still take extra steps—and why privacy needs to be available in the tools people use.

Every treasure hunt starts with a map. Ours took eight years to draw. Here is how to join the XT Exchange 8th Anniversary Treasure Hunt.

See how XT Exchange supports trust and transparency through 1:1 asset backing, Proof of Reserves, Merkle Tree verification, layered custody, and account security tools.

Learn how XT Exchange protects user assets through 1:1 backing, Proof of Reserves, cold-wallet storage, account safeguards, and ongoing security testing.

BTC Zhang Sir, 0xMeg and Lily examine final-market pricing, Golden Boot rules and the signals that matter when prediction markets reprice.

Robin, 0xJoker and ZhengEn examine how Brazil’s exit reshaped championship odds and exposed the different risks facing the remaining favorites.

Xiaonezha and Alicia unpack Strategy’s bitcoin monetization plan, liquidity framework, buyback authority and evolving balance-sheet strategy.

EH and pandaWL explain how bracket paths, liquidity and market attention can separate genuine championship contenders from popular favorites.