Gods Unchained(GODS) Регулярные инвестиции

The crypto market in 2025 is experiencing an unprecedented divergence: Bitcoin (BTC) reached new highs of $125,000 driven by institutional inflows via ETFs, while Ethereum (ETH) struggled around $2,800, and most altcoins fell 80-95% from their 2021 peaks. The traditional four-year cycle—where BTC leads, ETH follows, and altcoins surge—has broken down. This "great divergence" is fueled by institutionalization. BTC has become a "digital tech stock," correlated with Nasdaq, as traditional asset managers like BlackRock channel hundreds of billions solely into Bitcoin, creating a "one-way siphon" that leaves altcoins behind. ETH faces a "midlife crisis" due to Layer 2 solutions diverting value away from the mainnet and a lack of compelling new narratives. Altcoins are in a "liquidity black hole," plagued by high FDV/low float VC tokens, meme coin fatigue, and collapsing exchange liquidity. Major 2026 forecasts from Grayscale and CoinShares predict this structural shift is permanent. They expect BTC dominance to rise further, with BTC potentially reaching $150,000, while ETH undergoes a painful transformation. Most altcoins will be wiped out in a "Darwinian cleansing," with only projects offering real utility, sustainable revenue, and a clear regulatory path surviving. The four-year cycle isn't dead but has transformed. Future cycles may be "lame bull markets" where BTC rallies alone or with minimal spillover, signaling a permanent shift from a speculative, retail-driven market to an institutionalized, utility-focused one.

This article exposes two controversial cases on the prediction market platform Polymarket, highlighting issues of manipulation and deception. The first case involves a trader, ascetic, who claimed an 8,300x return—turning $12 into over $100,000 through 16 consecutive successful bets on Bitcoin's short-term volatility. However, he was accused by another trader, Moses, of operating a "Sybil farm"—using hundreds of accounts with small initial deposits to artificially create the illusion of a miraculous winning streak. Moses provided evidence of multiple accounts with similar trading patterns, suggesting the story was a fabricated marketing ploy. The second case details a more sophisticated manipulation: a trader known as a4385 exploited low liquidity during weekend trading to profit $233,000. He heavily bought "Yes" shares in a 15-minute XRP price prediction market, driving up the price of the shares. Then, just minutes before the market settled, he purchased $1 million worth of XRP on Binance, artificially inflating its price by 0.5% to ensure his Polymarket bet would win. After settlement, he quickly sold the XRP. This maneuver, with a minimal cost of around $6,200 in fees and slippage, effectively drained the liquidity from automated trading bots on Polymarket, one of which lost its entire annual profit of $160,000. The article concludes by warning users to be cautious and discerning, as not all spectacular gains are genuine, and platform rules can be exploited for manipulation.

The article exposes two controversial cases on the prediction market platform Polymarket, highlighting issues of manipulation and deception. First, a trader named "ascetic" claimed to have turned $12 into over $100,000—an 8300x return—through 16 consecutive successful bets on Bitcoin volatility. However, another trader, "Moses," accused ascetic of using multiple fake accounts (a "Sybil farm") to fabricate the results. Moses provided evidence suggesting ascetic operated several accounts that started with small amounts and only promoted the one that succeeded, while others failed. Despite denials, the credibility of the "miracle" was heavily questioned. Second, a different trader exploited Polymarket’s "15-minute XRP price prediction" by manipulating the market. Using $1 million in capital on Binance, the trader bought XRP shortly before the prediction window closed, artificially inflating the price by 0.5% to ensure a winning "up" bet. After cashing out $233,000 in profit on Polymarket, the trader quickly sold the XRP, incurring minimal cost in slippage and fees. This manipulation drained liquidity from automated trading bots on Polymarket, one of which lost $160,000 in annual profits. The piece warns users to be cautious of sensational claims and manipulative strategies in prediction markets, where rules and outcomes can be exploited.

Cerebras Systems, the chipmaker known for its massive wafer-scale WSE-3 processor, is making a dramatic IPO push with a $48 billion valuation. This move follows a crucial deal with OpenAI, where Cerebras will provide 750 megawatts of computing power over three years. In exchange, OpenAI receives warrants for a 10% stake in Cerebras, valued at around $5 billion. This agreement, termed a "computing ransom note," secures Cerebras a place within Sam Altman's influential network while sacrificing a significant portion of its potential profits from the deal. The partnership has supercharged Cerebras's market prospects, granting it a premium valuation and positioning it as a core OpenAI partner. The article frames this as part of "Altman Economics," where OpenAI leverages its model sovereignty to extract concessions from hardware suppliers, reshaping the AI hardware landscape into a hierarchy of sovereigns and vassals.

The new generation of "stock gods" in the 2026 US AI bull market are not analyzing traditional financial reports. Instead of focusing on giants like NVIDIA, figures like the 22-year-old Leopold Aschenbrenner (who reportedly turned $200M into $14B) and influencers like Serenity on platforms like Reddit's WallStreetBets, X, and Substack are gaining fame and returns by targeting obscure, low-cap "micro-cap" stocks. Their strategy, dubbed "supply chain sniping," involves identifying critical, often monopolistic, bottlenecks in the AI hardware supply chain—such as specific materials or components essential for giants like Google and NVIDIA—that are missed by mainstream Wall Street analysts. Serenity's call on AXTI, a $700M company supplying indium phosphide substrates crucial for photonics and optical interconnects, saw the stock soar from ~$12 to nearly $150. Similarly, accounts like KawzInvests and PhotonCap focus on thematic, supply-chain-driven research in areas like AI infrastructure, optics, and cloud services for SMEs, bypassing traditional valuation metrics. This shift represents a cultural move away from Warren Buffett-style value investing based on deep financial statement analysis. The new approach thrives on low liquidity, early narratives, and strong community propagation on social media, similar to meme stocks or crypto. However, this "attention economy" strategy carries risks: it depends on sustained information gaps, the underlying companies' ability to deliver fundamental results, and the potential for crowded, volatile exits as narratives shift. The trend also shows crypto traders applying their narrative-sensing skills to US micro-caps, marking a significant evolution in trading culture.