Cashmere Labs will launch its Mountain product and CSM token, with Goat LP opening to all users.

Decentralized exchange Lighter tweeted that its Lighter Core has launched binary options products, with plans to roll out a full options trading service next.

According to TradingBeats monitoring, a whale liquidated its long positions in Tesla, the DRAM Index, and the 3x semiconductor bull ETF SOXL last night, totaling roughly $46.317 million. The same account then established a long position in Google (GOOGL) worth approximately $44.393 million, marking a clear shift in holdings toward Google. The average entry price for this Google position is about $345.865, with an unrealized loss of around $188,000 and a liquidation price of $331.03; it also holds a long position in Amazon worth roughly $1.223 million.

OKX announced that it will launch U.S. dollar-denominated (U) U.S. TradFi perpetual contracts today, with underlying assets covering RUM, CRML, CVNA, MP, and TWST. The launch times (UTC+8) are 17:00, 17:15, 17:30, 17:45, and 18:00 respectively. The corresponding U.S. stock underlyings for these contracts are Rumble, Critical Metals, Carvana, MP Materials, and Twist Bioscience.

A $ZEC whale is buying $MASK (Nullmask)! This whale holds over $15M in assets, including 10,241 $ZEC ($11.69M). Over the past 3 days, he has been accumulating $MASK, buying a total of 3.69M $MASK ($151K).

JPMorgan Asset Management released its "2027 Long-Term Capital Market Assumptions" report on October 19, including Bitcoin in its long-term return forecast for the first time. The report projects Bitcoin’s compound annual return over the next 10 to 15 years will reach 10%, outperforming 7.5% for U.S. large-cap stocks, 5.5% for gold, and 8.2% for U.S. real estate investment trusts (REITs). It also estimates Bitcoin’s arithmetic average annual return at 20.9% and annualized volatility at 55%. Matt Hougan, chief investment officer of Bitwise, noted that JPMorgan has ranked Bitcoin as the top-performing asset expected over the next decade, a move that signals a shift in traditional financial institutions’ attitude toward crypto assets.

Beating AI Express: In February this year, after Anthropic demonstrated Claude Code’s capability to modernize legacy COBOL systems, IBM’s stock price plummeted 13.2% in a single day. Eight months later, OpenAI released its latest results for the GPT-6 series on legacy programming languages, with a maximum success rate of 97.9% in COBOL code migration tests. COBOL, created in the 1950s, remains widely used in banking transactions, ATMs, and insurance systems. Many programs have operated for decades, their original developers long departed, and some business rules exist only within the code itself. Rewriting these into modern languages requires not just making the code run, but also ensuring fully consistent calculation results. For instance, COBOL’s fixed-point arithmetic discards excess decimal places unless explicitly ordered to round; a new program using rounding instead could lead to financial account errors. OpenAI specifically tested AI’s ability to convert COBOL programs to languages including C++, Java, Python, and Rust, requiring byte-for-byte identical output between the old and new programs. GPT-6.1 Sol achieved an 86.6% success rate at low inference settings, compared to just 5.4% for the previous GPT-5.6 Sol, with an estimated API cost reduction of 39%. Success rates climbed further to 97.9% when increasing inference settings. OpenAI also open-sourced MultiLangBench, which tasked AI with building SQLite-compatible database engines from scratch in 20 different programming languages. GPT-6 Astra posted an average test pass rate of 87.4%, versus 26.8% for GPT-5.6 Sol. Between the two models, their scores on COBOL were 72.1% and 10.9% respectively – COBOL ranks as the most challenging of the 20 tested languages.