Strive states the recent selloff in digital credit was a liquidation event, not a sign of a broader credit crisis, clarifying market concerns.
Strive says digital credit selloff was a liquidation event, not a credit crisis
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Crypto News
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Crypto Social Trading Startup Fomo Raises $75 Million at $550 Million Valuation
Fomo, a crypto social trading platform, secures $75 million in funding, valuing the company at $550 million, signaling investor confidence in social crypto trading.
Why Real Yield Became a Bigger Crypto Theme
Many are shifting to real yield in crypto due to increased transparency and stability, but the full story reveals even deeper industry shifts.
Ethereum Foundation loses another key leader as co-executive director Hsiao-Wei Wang resigns
Hsiao-Wei Wang resigns from her role as co-executive director at the Ethereum Foundation, marking another leadership change in the organization.
Week Three — Foundation model vs Brownian motion. Kronos on five-minute BTC.
Kronos, a foundation model, was tested against Brownian motion for 5-minute BTC predictions; results show no significant outperforming in recent tests.
Week Three — Foundation model vs Brownian motion. Kronos on five-minute BTC.
Kronos, a foundation model, was tested against Brownian motion for five-minute BTC predictions; results show no significant advantage.
Introducing Forezai · TradingAgents — a committee of LLMs decides paper-trades
Forezai introduces a system where a committee of large language models autonomously makes paper-trading decisions, marking a new step in AI-driven trading research.
AI Trading Bot — Week Two: The candidate edge collapsed
The promising BTC strategy from the AI trading bot experiment has collapsed, with all tested approaches now in the red after two weeks of trading.
Building an AI Trading Bot — Week One: Why a 90 % Win Rate Can Still Lose Money
An experiment with simulated AI trading strategies reveals that high win rates don’t guarantee profitability. Key insights from initial testing phase.
The Ghost Story Became a Forecast.
Thorsten Meyer analyzes Jack Clark’s recent essay revealing a bivalent forecast for AI development, with 60% chance of automation by 2028 and 40% indicating fundamental limitations.
