Going straight to a live trading swarm is how traders lose money they didn't intend to risk. The staged path — paper, Pro, Power, Performance — is what makes the progression survivable, not a gamble.
The path from "I want to try this" to "I'm running real money on a swarm" should be a staircase, not a leap. Each stage has a gate: what breaks when you move up, and what you should have learned before you did.
The Launch Plan, Staged
- **Free paper.** Run the swarm in simulation, no money at risk. Learn what the swarm does, what the breaker does, what the log shows.
- **Pro — one live swarm.** One swarm, real money, small. Learn what live feels like — latency, fills, the emotional gap between paper and real.
- **Power — all swarms.** A portfolio of swarms. Learn whether you can manage more than one at once, and what correlation does to your risk.
- **Performance / Enterprise.** Qualified clients, family offices, RIAs. Learn what it means to be accountable for other people's money.
What Breaks at Each Gate
- Paper → Pro: the gap between simulated and real fills, and the discipline gap of real money.
- Pro → Power: the correlation between swarms you thought were independent.
- Power → Performance: the accountability and reporting bar of other people's money.
Measure Before You Move Up
Process measurement: don't move up a stage because you're ready — move up because you measured the previous stage and it met the bar. A stage you didn't measure is a stage you'll have to repeat, at the next stage's cost.
How FACTA Frames It
Staxis is built as a staged path — free paper → Pro → Power → Performance / Enterprise — because going straight to live is how traders learn the lessons that cost real money. Each stage inherits the same non-custodial guarantee, circuit breaker, and audit log.
Conclusion
The path from paper to live is a staircase, not a leap. Each stage has a gate — what breaks when you move up — and you move up by measuring the previous stage, not by feeling ready.
About FACTA
FACTA helps startups and growth-stage teams turn AI into production systems that keep running — not demos that impress once.
We design the architecture around the parts that actually break under real usage: tooling you own, credentials you control, failover, cost controls, observability. The boring infrastructure that keeps a system alive after launch.
Led by Matías Baglieri and Carolina Fogliato, we focus on one thing:
AI leadership that builds. Not just advises.
Tell us where you are on the path.
We'll tell you what the next gate is and what to measure before you move up. See the swarm as the unit of value for what you're buying at each stage.
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