AI influences reduced volatility in crypto markets, says expert
Summary
AI technology is influencing the cryptocurrency markets, as indicated by Paul Howard from @Wincent_co, who noted that volatility has decreased compared to three years ago. This shift may be due to the rise of sophisticated trading strategies, including machine-learning systems that analyze order books and market data more quickly than humans. These automated strategies can adapt to market conditions by adjusting position sizes and risk management effectively, contributing to improved liquidity. However, while evidence suggests that AI tools can reduce portfolio risk, the relationship between these advancements and a long-term decline in overall market volatility remains less clear.
Analysis
Categories
predictionspredictions:cryptocrypto
Related sources
- https://cointelegraph.com/news/ai-analysis-finance-crypto-trading
- https://link.springer.com/article/10.1007/s44163-025-00785-w?error=cookies_not_supported&code=406c0ffa-7269-4288-b086-c279b410b249
- https://cointelegraph.com/news/ai-crypto-trading-make-break-human-roles
- https://arxiv.org/abs/2407.18334
- https://link.springer.com/content/pdf/10.1007/s44163-025-00785-w.pdf?error=cookies_not_supported&code=f0b87207-745c-4ba1-97fd-1185ec15a13a
- https://link.springer.com/article/10.1007/s44163-025-00519-y?error=cookies_not_supported&code=b94a7c38-504f-41f9-8540-9f96f48a39e9
- https://link.springer.com/article/10.1007/s43546-023-00618-x?error=cookies_not_supported&code=ccb0f6f4-2344-41e5-a972-a3b87b298e35
- https://cointelegraph.com/news/how-ai-changing-crypto-hype-reality
- https://www.newswise.com/articles/unlocking-cryptocurrency-profits-ai-powered-trading-strategies-tame-market-swings
- https://www.frontiersin.org/journals/artificial-intelligence/articles/10.3389/frai.2025.1702924/full
- https://www.ijisrt.com/assets/upload/files/IJISRT26SEP754.pdf
- https://cointelegraph.com/news/ai-crypto-trading
- https://arxiv.org/html/2609.04917v1
- https://www.frontiersin.org/journals/artificial-intelligence/articles/10.3389/frai.2025.1702924/pdf
- https://www.tandfonline.com/doi/full/10.1080/10864415.2026.2641979