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Grayscale: The Bitcoin covered call option strategy has an annualized return of about 22% in a sideways market

Grayscale's research director Zach Pandl stated that if the price of Bitcoin has formed a solid bottom but is consolidating before recovery, a covered call strategy can generate income through Bitcoin volatility while managing spot price exposure. Grayscale assumes a Bitcoin spot price of $65,000 and an implied volatility of 40%, projected until the end of 2026. Under this assumption, the covered call strategy has an annualized return of about 22%, remaining profitable above a breakeven price of approximately $58,500, and outperforming holding spot Bitcoin alone when Bitcoin reaches about $72,500 at expiration.Pandl pointed out that option premiums provide income and downside protection, at the cost of giving up some upside potential when Bitcoin rises significantly. If the Bitcoin spot price falls below the breakeven price, the strategy will still incur losses, but the extent of the loss will be less than directly going long on spot Bitcoin, with the difference equivalent to the call option premium. Grayscale's Grayscale Bitcoin Covered Call ETF, with the ticker BTCC, aims to maximize income generation potential through writing covered calls. The fund does not directly invest in digital assets or initial coin offerings but gains indirect exposure to digital assets through derivatives related to exchange-traded products that hold digital assets.

The dark side of the moon plans to release the Kimi K3 large model soon, with a parameter scale reaching 2 to 3 trillion, closely following the leading teams in the United States

According to the Financial Times, informed sources reveal that the Chinese AI unicorn company Moonshot AI plans to release a new large language model, Kimi K3, in the near future. This model has between 20 trillion to 30 trillion parameters, making it the largest AI model in China by parameter scale, and its performance is expected to surpass the flagship model Claude Opus 4.8 from Anthropic in mainstream benchmark tests (industry speculation suggests its parameter count is around 15 trillion to 20 trillion).Unlike the currently mainstream closed-source and expensive cutting-edge large models in the United States, Kimi K3 will be available as an open-weight model for users to download and modify for free, which may create competitive pressure for leading American labs like OpenAI and Anthropic. Currently, due to the rising service fees for large models in the U.S. (for example, Anthropic has announced a 50% price increase for Opus 4.8 in September), some overseas companies have begun to shift towards using more cost-effective Chinese open-source models.In terms of the capital market, informed sources indicate that Moonshot AI is preparing for a new round of financing, with the latest valuation expected to reach approximately $31.5 billion. Meanwhile, the valuations of other AI giants in China and the U.S. are also rising; DeepSeek is starting a new round of financing with an estimated valuation of about $71 billion, while Anthropic and OpenAI have reached valuations of $965 billion and $852 billion, respectively, in their latest round of financing. In response to the aforementioned release and financing rumors, Moonshot AI has currently declined to comment.

Analysis: Large-scale outflows from Bitcoin ETFs and private credit funds, market risk signals intensifying

According to CoinDesk, in just the month of June, the U.S. spot Bitcoin ETF saw a net outflow of $4 billion, led by BlackRock's IBIT, as funds shifted towards opportunities in AI trading and the SpaceX IPO. Bitcoin fell about 14% in the second quarter, dropping below $60,000, marking its third consecutive quarter of losses. However, this outflow pales in comparison to the $2 trillion private credit market. Redemption requests in private credit reached $15.6 billion in the second quarter, with 10 out of 16 business development companies exceeding the 5% quarterly cap, and most investors receiving only partial payouts. Fitch expects redemptions to continue in the coming months, and unmet requests will keep several companies under pressure.Bitcoin ETFs have strong liquidity, and outflows directly impact BTC prices; in contrast, private credit BDCs are illiquid long-term instruments. The simultaneous redemptions of both reflect widespread market concerns about liquidity and risk. The energy market is also sending signals of risk aversion, with the U.S. Strategic Petroleum Reserve at its lowest level since 1983. QCP Capital summarized: "Different sectors, same pattern: the market's buffer space is narrowing." It pointed out that the Strategic Petroleum Reserve has bottomed out, Strategy has sold BTC for the first time to pay dividends, and private credit redemptions have surpassed thresholds, all indicating that risk assets face a more challenging environment.
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