Crypto news roundup — 29 October 2026, morning edition
Eight stories moving the market, pulled from public crypto newsrooms at publication time, with Bitcoin at $80085 (-0.93% on the day).
- Here’s what happened in crypto today — Cointelegraph
- AI found a way to crash bitcoin nodes on Windows and Macs. It's now public — CoinDesk
- Security failure at Indian certificate firm bites Ethereum as developers rush out fixes — CoinDesk
- Ripple’s RLUSD stablecoin gains Coinbase access as Moody’s awards investment-grade rating — CryptoSlate
- Utah charges predictions platform Kalshi with illegal gambling — CoinDesk
- Your fridge could one day stake Ether, launch memecoins: CFTC chair — Cointelegraph
- Bitcoin dips below $80,000 as Samsung-led tech jitters and a hawkish Fed weigh on crypto — CoinDesk
- Mystery Wall Street Journal ad sparks new fight over tokenized stocks — CoinDesk
Why the bot does not read the news
None of these stories change a single rule inside the engine, and that is the point. An automated accumulation strategy has no view on regulation, ETF flows or exchange announcements; it has a ladder, a per-lot take-profit above the fee line, and a cash reserve floor. News shows up only as volatility — wider ranges mean rungs fill faster in both directions, and a violent one-way move means the ladder fills down and waits instead of chasing.
The discretionary mistake in a week like this is to override the rules because a headline felt important. The measurable alternative is to let the reserve floor absorb the move and judge the system on closed trades after fees, which is what the daily recap publishes.
Related reading on this site
- The daily performance recap, published every morning and evening from the live trade ledger.
- The market movers update, covering the top 30 assets by market capitalisation.
- The trending and new listings update, with the liquidity checks behind pair selection.
Sources: Cointelegraph, CoinDesk, CryptoSlate public RSS feeds.
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*This article reports the live results and public market data behind an automated trading system. It is information, not financial advice, and past results do not predict future outcomes.*