Polyfokus
Prediction-market trading platform built around disciplined controls
A private trading platform for prediction markets that combines market ingestion, trader scoring, execution controls, and operator visibility in one disciplined system.
The public story is not the edge model itself. It is the architecture around it: clean data flow, conservative controls, observability, and a workflow that lets operators iterate without gambling on intuition.
One ecosystem, not a script pile
Polyfokus is a coherent platform with collectors, storage, execution services, operator tooling, and backtesting surfaces arranged around a single operating model.
The edge stays private
We can talk publicly about control surfaces, data integrity, and execution discipline without disclosing the scoring logic or strategy internals that create the actual edge.
Proof of systems rigor
This project signals that we can design high-pressure systems where latency, controls, and observability all matter at once.
Built like an operations platform
The platform is split along operational boundaries so each layer can be trusted, reasoned about, and replaced independently.
Data collectors
Go services ingest markets, prices, orderbooks, and chain activity into the warehouse with pipeline freshness as a first-class concern.
Execution services
Python services handle bot lifecycle, execution, wallet flows, and backtesting so strategy iteration does not contaminate the ingestion layer.
Operator tooling
A Rust TUI turns the system into something operators can actually run, inspect, and intervene in under pressure.
Risk boundaries are part of the product
The interesting part is not just signal generation. It is the layer of gates, size controls, exposure limits, and execution policies that keep the system legible and survivable.
Backtesting is attached to the live stack
Historical simulation is not treated as a separate research toy. It exists to accelerate the feedback loop between live observations, parameter changes, and operational confidence.
Historical replay
Backtests let us test assumptions against the same ecosystem concepts used in production, rather than inventing a parallel research environment.
Operator feedback
Live dashboards, alerts, and bot control surfaces create a clear handoff between research and day-to-day operations.
Internal Systems
Related Systems
Need a system with hard constraints and clear operator visibility?
This is the kind of work we do best: complex systems where correctness, controls, and observability matter more than marketing fluff.