# Algorithmic Trading Related Articles

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2-Year Return of 225x? Uncovering Mysterious Researcher Serenity's AI 'Choke Point' Investment Strategy

"2 Years, 225x Returns? Decoding Serenity's AI 'Chokepoint' Investment Strategy" This article profiles Serenity (formerly AleaBito on Reddit's WallStreetBets), a pseudonymous researcher known for exceptional returns by applying a "Chokepoint Theory" to AI investments. His methodology involves a bottom-up, reverse-engineering approach of the AI hardware supply chain. He identifies critical, irreplaceable physical bottlenecks (chokepoints) that could cripple entire AI systems if disrupted, bypassing Wall Street's top-down focus on major tech firms. Key examples include pinpointing essential suppliers in the emerging Silicon Photonics and Co-Packaged Optics (CPO) sector—components vital for next-generation AI data center interconnects—such as niche companies providing external laser sources, molecular beam epitaxy equipment, or ultra-pure raw materials. Similarly, he highlights geopolitical "chokepoints" in the humanoid robotics supply chain, where key hardware components and rare earth elements are concentrated in Asia. Serenity validates his investment theses through rigorous adversarial AI debates before publication. He leverages institutional blind spots, directing a sophisticated network of retail followers toward undervalued, under-covered micro-cap stocks across global exchanges, driving significant price movements in names like Sivers ($SIVE), Soitec, and Raspberry Pi ($RPI). While presenting a powerful framework for finding critical system dependencies, the strategy carries inherent risks: extreme concentration on specific technological paths, liquidity issues in small-cap stocks, and accusations of market manipulation. Ultimately, the core takeaway is not to copy his trades, but to adopt his analytical lens: to ask which silent, physical switches hold irreplaceable power within a complex system and invest ahead of the market's recognition of their value.

链捕手05/27 09:12

2-Year Return of 225x? Uncovering Mysterious Researcher Serenity's AI 'Choke Point' Investment Strategy

链捕手05/27 09:12

Data: 75% of Traders on Hyperliquid Are Losing Money. What Are the Profitable Ones Using?

On Hyperliquid, approximately 75% of addresses are losing money, indicating that manual traders are increasingly competing against automated systems. Profitable traders primarily employ one of three approaches: 1) Running systematic, high-frequency strategies (e.g., one address executed 261k trades with a 64.75% win rate), 2) Placing high-conviction, asymmetric bets with large positions (e.g., 50 trades yielding $4.48M at a 28% win rate), or 3) Using algorithms for execution while making manual macro judgments. The article argues that traditional methods like chart patterns or reacting to social media news are often already priced in by bots, making such traders the "exit liquidity" for systematic players. Success now depends on unique narrative timing, structural insights, or conviction during market capitulation.

marsbit05/20 07:49

Data: 75% of Traders on Hyperliquid Are Losing Money. What Are the Profitable Ones Using?

marsbit05/20 07:49

Gold Plunged Over 4%, Silver Crashed 11%, Did the US Stock Market Plunge Trigger Algorithmic Selling in Precious Metals?

Gold and silver prices plummeted sharply on Thursday, with gold dropping over 4% and silver plunging nearly 11%, amid a broader sell-off in metals triggered by a significant decline in U.S. equities. The Nasdaq fell more than 2%, prompting some traders to liquidate commodity positions—including gold, silver, copper, platinum, and palladium—to cover losses in equities and seek liquidity. A strong dollar and risk-off sentiment contributed to the decline. The sharp and sudden downturn was largely attributed to algorithmic and momentum-driven trading. After a period of sustained gains, metals faced heavy selling pressure as key technical levels were breached, leading to automated sell orders. Some analysts characterized the move as a "vacuum-style drop," typical of systematic trading strategies during periods of market stress. Despite the sell-off, many analysts remain bullish on gold’s longer-term prospects, citing ongoing geopolitical risks, questions around Federal Reserve policy, and a broader shift away from traditional assets. Major banks, including J.P. Morgan and Deutsche Bank, maintain positive year-end targets. Market participants are now closely watching upcoming U.S. economic data, particularly the CPI release, for clues on the Fed’s interest rate path, as lower rates generally support non-yielding assets like precious metals.

marsbit02/13 02:57

Gold Plunged Over 4%, Silver Crashed 11%, Did the US Stock Market Plunge Trigger Algorithmic Selling in Precious Metals?

marsbit02/13 02:57

Programmer Earns $75K Using AI Bot to Track Polymarket Trades

A programmer earned $75,000 in profits by using an AI-powered bot to monitor suspicious trading activity on the prediction market platform Polymarket. The custom system, built with Claude AI and Cursor, tracks unusual betting patterns by analyzing new wallets with no history, unusually large bets, and repeated entries into political prediction markets where insider knowledge may create pricing inefficiencies. The bot serves as an alert mechanism rather than an automated trading tool, scanning Polymarket’s API to flag potential opportunities hours before major events—such as a trade related to Venezuelan President Nicolás Maduro—allowing the developer to enter positions at lower prices. The system processes data faster than manual methods but leaves final trading decisions to the user. Initial testing and a single day of operation generated the reported profit.

TheNewsCrypto01/05 12:49

Programmer Earns $75K Using AI Bot to Track Polymarket Trades