Algorithmic trading infrastructure, autonomous operations, and independent strategy validation — built from real deployments and tested against reality.
Three disciplines, one standard: systems that earn their place with evidence, not assumptions.
Scalesco's audit framework was first used against our own trading system. The result: we rejected our own assumptions and found the tested strategies did not clear our evidence standard. We then applied the same framework to Turtle/Donchian breakout — one of the most famous public systematic strategies — and reached the same evidence-first conclusion.
We do not sell hype.
We do not sell signals.
We test whether a strategy has evidence behind it.
A 6-tier ops daemon that monitors, summarizes, maintains, analyzes, remediates, and escalates issues across production systems.
Research-driven trading infrastructure for testing, monitoring, and validating systematic strategies across crypto and equities. Multi-agent architecture with regime detection, protective bracket orders, and out-of-sample validation.
These are the systematic strategies under continuous testing and validation. Each description explains what the system does — it is not a claim of profitability. How we evaluate whether any of them has an edge is covered in Research.
AI-powered content operations that preserve voice, route through compliance gates, and require human approval before publishing.
On-chain verified access, payments, and subscription infrastructure. Smart-contract-gated tiers on Base L2, paid in USDC.
Tiered subscription access and on-chain payment rails — smart-contract verified and wallet-native.
Every system I build for clients is architecture battle-tested on my own infrastructure first.
Whether you are building a trading system, automating operations, or testing a strategy, Scalesco helps separate evidence from assumptions.