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How AI Helps Crypto Traders Analyze Markets, Manage Risk, and Trade Smarter
Crypto trading is no longer just about having a good idea—it is about executing consistently in a market that never stops. As data volumes and market speed increase, traditional manual analysis reaches its limits. AI helps traders move beyond these limits by transforming how markets are analyzed, how sentiment is interpreted, and how risk is controlled. This article explores how AI is reshaping crypto trading — and what that means for traders today.

Long-standing domestic public blockchain NEO sees feud between two co-founders, with opaque finances as the core reason

AI Trading in Crypto: How Traders Actually Apply AI in Real Crypto Markets
Artificial intelligence has moved beyond experimentation in crypto markets. In 2025, AI-driven trading tools are increasingly used by traders who want better discipline, faster execution, and more structured decision-making in volatile markets. This guide explains how AI is actually used in crypto trading, step by step — with a focus on how these strategies are executed in real trading environments.
Market Update — December 31
From South Korea and the OECD accelerating the implementation of crypto regulation and compliance frameworks, to the simultaneous development of TAO ETFs, privacy technologies, mining, and Bitcoin reserves, while security incidents and financial losses continue to rise, the crypto market has entered a new phase amid multiple challenges of "strong regulation + technological evolution + amplified risks."

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When Everyone Uses AI Trading, Where Does Cryptocurrency Alpha Go in 2026?
In 2025, AI trading has become the default, but Alpha hasn’t disappeared — it’s been eroded by crowding, as similar data, models, and strategies cause traders to act in sync and lose their edge.
Real Alpha has shifted to harder-to-copy layers like behavioral and on-chain data, execution quality, risk management, and human judgment in extreme markets, where acting differently — or not acting at all—matters more than better predictions.

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Billions Launches Official Profiles to Combat AI-Induced Trust Issues
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RVV Token Surges as Astra Nova Gains Tier 1 Listing
Key Takeaways The Astra Nova ($RVV) token experienced a remarkable 56.33% increase in value within 24 hours. The…

AI Tool Users Advised to Guard Against Toxic Prompt Attacks
Key Takeaways SlowMist founder Yu Xian emphasizes the risk of toxic prompt attacks in AI tools, urging users…

Trust Wallet Investigates Browser Extension Security Incident
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Coinbase Recognized as a Top Fintech Pick for 2026 by Clear Street
Key Takeaways: Coinbase has been identified as one of the top three fintech stock picks for 2026 by…

Crypto Leaders Critique California’s Proposed 5% Wealth Tax
Key Takeaways The proposed 5% wealth tax in California, aimed at billionaires, has sparked significant backlash among crypto…

Who is creating these ugly Memes?

Cryptocurrency people who use candlestick charts for fortune telling
When fortune telling is depicted on candlestick charts and placed within the context of the cryptocurrency world, its explosive popularity stems not from the accuracy of its mystical claims, but from the fact that traders' collective anxiety about uncertainty has finally found an outlet.
How AI Helps Crypto Traders Analyze Markets, Manage Risk, and Trade Smarter
Crypto trading is no longer just about having a good idea—it is about executing consistently in a market that never stops. As data volumes and market speed increase, traditional manual analysis reaches its limits. AI helps traders move beyond these limits by transforming how markets are analyzed, how sentiment is interpreted, and how risk is controlled. This article explores how AI is reshaping crypto trading — and what that means for traders today.
Long-standing domestic public blockchain NEO sees feud between two co-founders, with opaque finances as the core reason
AI Trading in Crypto: How Traders Actually Apply AI in Real Crypto Markets
Artificial intelligence has moved beyond experimentation in crypto markets. In 2025, AI-driven trading tools are increasingly used by traders who want better discipline, faster execution, and more structured decision-making in volatile markets. This guide explains how AI is actually used in crypto trading, step by step — with a focus on how these strategies are executed in real trading environments.
Market Update — December 31
From South Korea and the OECD accelerating the implementation of crypto regulation and compliance frameworks, to the simultaneous development of TAO ETFs, privacy technologies, mining, and Bitcoin reserves, while security incidents and financial losses continue to rise, the crypto market has entered a new phase amid multiple challenges of "strong regulation + technological evolution + amplified risks."