Fluxy · Use cases · Rebalancing
Portfolio rebalancing that answers to a risk budget
Most rebalancing bots hold fixed percentage weights and call it discipline. Real rebalancing is a risk decision: how much of each asset, sized against its volatility, inside limits for the whole book. Fluxy treats a rebalancing policy as what it is — a strategy — which means you backtest it against years of history before it touches your account, and the engine that tested it is the engine that runs it.
How it works here
The machinery under it
Vol-targeted weights
Risk first, weights second
Size positions from a volatility target rather than fixed percentages, so a quiet BTC and a violent alt do not carry the same risk at the same weight.
Portfolio-level limits
The book, not just the legs
Drawdown and utilisation limits apply to the whole portfolio; the executor sizes orders venue-compliantly and reconciles before every run.
Backtested policy
Know before you automate
Run the exact policy over point-in-time history — with delistings force-closed, not erased — and read IS/OOS metrics before you arm it.
Said plainly
What we won't pretend
Rebalancing is not an alpha machine — it is a discipline machine. What it buys you is a risk profile that stays where you put it, and a paper trail showing the policy was tested rather than vibes.