Ripple’s Brad Garlinghouse noted that stablecoin trading volume soared to over $33 trillion in 2025, while Bloomberg predicted that stablecoin flows would hit $56.6 trillion by 2030. Ripple CEO Brad Garlinghouse said stablecoins will be the crypto sector’s “ChatGPT moment” for businesses in search of faster, more efficient payments, and that many companies are already discussing and strategizing how to implement stablecoins into their operations. “You have boards of directors and CEOs of companies, whether it’s Fortune 500 or Fortune 2000, they’re asking their treasurers, they’re asking their CFOs, hey, what are we doing with stablecoins,” Garlinghouse told FOX Business on Friday. “Giving the treasurer and the CFO that option is the unlock,” he said. Read more
With the right workflow, data feeds and prompts, ChatGPT can generate structured market summaries, flag risk clusters and support smarter decision-making. The real edge in crypto trading lies in detecting structural fragility early, not in predicting prices. ChatGPT can merge quantitative metrics and narrative data to help identify systemic risk clusters before they lead to volatility. Consistent prompts and verified data sources can make ChatGPT a dependable market-signal assistant. Read more
The Chinese budget AI model QWEN3 was the only one to generate positive returns, while its more heavily funded competitors returned significant losses. Two Chinese artificial intelligence chatbots outperformed some of the world’s most advanced models, including OpenAI’s ChatGPT, in an autonomous cryptocurrency trading competition that ended Tuesday. Budget AI models QWEN3 MAX and DeepSeek finished first and second in the trading challenge, outpacing higher-profile and more expensive competitors. QWEN3 was the only AI chatbot to generate positive returns, making a total profit of $751 at a 7.5% return rate, while all other AI bots ended the competition in the red, according to data aggregator CoinGlass. Read more
With the right workflow, data feeds and prompts, ChatGPT can generate structured market summaries, flag risk clusters and support smarter decision-making. The real edge in crypto trading lies in detecting structural fragility early, not in predicting prices. ChatGPT can merge quantitative metrics and narrative data to help identify systemic risk clusters before they lead to volatility. Consistent prompts and verified data sources can make ChatGPT a dependable market-signal assistant. Read more
Discover hidden crypto gems using ChatGPT: GPTs, sentiment insights and data-driven scanners for smarter research and trading. ChatGPT can synthesize social media and news sentiment to reveal early narratives and market buzz around emerging tokens. Feeding technical indicators and onchain transaction data to ChatGPT allows traders to track “smart money” movements and identify accumulation or distribution patterns. Exploring multiple GPTs in workflows lets traders cross-reference metrics, sentiment and contract safety for more informed decisions. Read more
ChatGPT can be a powerful co-pilot for traders. Here’s how to leverage AI for market analysis, sentiment signals and strategy development. ChatGPT accelerates crypto analysis by interpreting data, summarizing sentiment and creating strategy templates. Traders use it for practical tasks like bot development, technical interpretation and backtesting simulations. It augments — not replaces — human decisions and works best when combined with tools like TradingView. Read more