Your most thorough reader gets the least to read. Ten places where building for agents differs from building for people, with numbers from production.

DCA vs. lump sum for Bitcoin? Across 346 historical entries the lump sum won 60 % of the time — but DCA halved the downside. The distribution instead of an opinion.

Oracle manipulation drained millions from Ostium — not through a contract bug, but through bad data. The failure modes when DeFi protocols trust their price feeds.

An AI swarm turned $1,000 into nearly a million? The number falls apart at its own source. Why consensus from correlated simulations is not an edge.

Market data licensing is tiered, and the decisive line runs between derived values and raw prices. What that costs — and why we're switching off four asset classes for now.

Everyone talks about the agent economy. From the provider side — I run x402-paid financial endpoints — what agents actually buy today is sober: ingredients. And where the line runs between real and vision.

"Bitcoin is going productive" — they say. Wrapped BTC brings BTC into DeFi. How big is it really, who dominates, where are the catches? A sober map.

We audited 40,000 of our own backtests — and benched several of our own strategies in the process. Here is what we killed, what we reactivated, and the uncomfortable core lesson: whether a strategy is "good" depends less on the strategy than on the asset class it runs in.

A thesis says trading platforms are going "agentic" — AI monitors, signals, executes. The structural part is right. The blind spot sits where money is lost.

A 2x ETF promises double the index move — but only for a single day. The daily reset creates a decay that quietly grinds it down in choppy markets. How it works, who's on the other side, and why "×2 the index" is the most classic backtest mistake there is.