A trader was up 4,502% this year back in May. Now the account is up 595%. That is an 85% drop from the top. To get back to the top, it now needs to grow about 562%. Gains and losses are NOT even. A big loss needs a much bigger gain to fix it. That is why position size matters even more than being right.

Tuesday's inflation report will be missing the number everyone quotes. The government never collected prices in October 2025 because of the shutdown. With no prices from a year ago, there is nothing to compare against. So this month there will be no official yearly inflation rate. Not for overall prices, and not for core prices, which leave out food and energy. What you will get is the one-month change. Forecasters expect prices rose about 0.24% in October, down from 0.6% in September. Core is expected to be up about 0.2%. That monthly number is the whole show. Traders see about an 80% chance the Federal Reserve raises rates in December. If you see a yearly number on Tuesday, it is just someone's estimate. It is not the official one.

The United States Treasury just said it may buy back up to $95 billion of its own bonds this quarter. But that number is a ceiling, not a promise. Up to $70 billion is for liquidity support. That means buying older bonds that are hard to trade so dealers can keep the market working. Up to $25 billion is for cash management in short bonds from about 1 month to 2 years. This is not the Federal Reserve printing money. The Treasury is swapping some old debt for cash as part of how it runs the debt market.

AI Agents Agreeing With You Is Dangerous What happens when an AI agent stops challenging your assumptions and starts reinforcing them? One of the less obvious risks of AI adoption is overconfidence. When AI systems consistently validate what users want to hear, they can reinforce flawed decisions instead of helping people identify problems. Craig McLuckie's perspective on engineering discipline highlights why organizations cannot confuse agreeable AI behavior with reliable AI behavior. As agents become more deeply integrated into business processes, trust must come from verification, context, and enforceable safeguards. Topics covered: • AI sycophancy and overconfidence • The danger of unchallenged AI recommendations • Context optimization and reliable AI outputs • Building safeguards into enterprise AI systems Guest: Craig McLuckie — CEO & Founder, Stacklok Host: Brandon Krieger — CEO & vCISO Advisor 📺 Watch the full episode: 🎧 Listen: #ArtificialIntelligence#, #AIAgents#, #AITrust#, #AISecurity#, #Stacklok#, #CraigMcLuckie#