#fogo $FOGO
Why I Started Measuring Data Freshness, Before Speed on FOGO?
I spent a week trying to run the same tight spread strategy across a modular setup. The logic was fine. The thing that kept betraying it was freshness. By the time the oracle update landed and I bridged to where the liquidity was, the window was gone. I paid around $30 in fees across the week just to arrive late.
Here’s the uncomfortable part about modular. You don’t get one clock. You get several. Oracle updates on one cadence, execution on another, settlement on another, and every seam becomes a place where “truth” can be briefly stale but still expensive. That staleness turns into behavior. Wider slippage. Smaller size.
Defensive delays that become permanent.
FOGO reads like an attempt to collapse those clocks. Not “faster,” but less stale by design, fewer hops where price ages before it becomes action. When data and execution share the same heartbeat, your strategy stops paying a hidden tax just to stay synchronized.
It’s like cooking in one kitchen instead of running between three.
Modular buys flexibility. It also sells you latency in fragments.