BingX doubles down on AI with $300m bet on multi-asset trading edge

Crypto exchange BingX spends $300m on AI tools to turn macro, gold, and crypto volatility into personalized, multi-asset trading decisions.

Summary

• BingX commits $300m to an AI-driven exchange stack centered on AI Bingo and AI Master.
• UBS lifts its gold price target to $6,200 in 2026, reinforcing demand for tokenized metals on BingX.
• BingX reports over $2b in daily TradFi volume and 40m users as AI tools reframe how traders read macro risk.

In a year when crypto markets trade at macro speed, BingX is betting that the next edge will come from artificial intelligence woven into the plumbing of the exchange, not bolted on as an afterthought. The platform has committed $300 million to AI over the long term, positioning itself as what it calls an “all‑in AI” venue that treats automation as core infrastructure rather than marketing gloss.

BingX’s internal suite runs across multiple models, coordinated by specialized agents mapped to distinct points in the trading process.

Two flagship tools, BingX AI Bingo and BingX AI Master, are designed as decision‑support layers rather than execution engines, with AI Bingo acting as a conversational “trading idea generator” that scans more than 1,000 market pairs and surfaces scenarios, support and resistance levels, and probability forecasts.

“The outcome is an experience that feels less like software and more like a companion who understands you,” BingX product leadership has said of AI Master’s adaptive design, which learns risk tolerance and adjusts recommendations in real time.

This pivot is unfolding just as crypto venues pull in traditional instruments like precious metals and tokenized equity exposure, allowing traders to watch gold, oil, and Bitcoin from a single AI‑powered interface around a major macro release.

UBS has recently raised its gold price target to $6,200 per ounce for March, June and September 2026, while still expecting prices to ease slightly to $5,900 by year‑end, underscoring sustained institutional demand for precious metals even as tokenized versions migrate onto exchange rails. BingX argues that routing these assets through blockchain settlement improves traceability, while AI helps traders read macro‑driven moves across asset classes rather than in isolated order books.

The scale is already non‑trivial: BingX reports more than $2 billion in 24‑hour trading volume in its traditional‑market products alone and says its AI tools have attracted millions of users, with a broader ecosystem now claiming over 40 million accounts globally. As analysts frame AI‑supported, multi‑asset environments as a baseline expectation for 2026, the competitive battlefield is shifting away from raw speed toward interpretation, risk assessment, and personalization. In that contest, BingX’s wager is blunt: the exchanges that win the next decade will be those that turn correlated, cross‑asset noise into usable decisions—secure, simple, and responsive enough to keep pace with markets that no longer sleep.

Broader crypto market reactions

This parabolic move comes as digital assets continue to trade as the purest expression of macro risk appetite. Bitcoin (BTC) is hovering around $70,961, with 24‑hour turnover near $42.3B. Ethereum (ETH) changes hands close to $2,095, on roughly $20.9B in 24‑hour volume. Solana (SOL) trades around $87.6, with about $3.6B in day‑long activity. For BingX and its rivals, those flows are the proving ground for whether AI‑native exchanges can genuinely help traders keep up.coinmarketcap+3

Related coverage: BingX’s rollout of AI Master as a crypto trading “strategist,” a deep dive into the exchange’s AI Bingo and AI Master stack, and the latest UBS upgrade to its 2026 gold price targets as macro demand for safe‑haven assets accelerates.