// about

Who builds
AMC Labs

AMC Labs is a solo builder operation focused on algorithmic trading systems, on-chain data consumption, and execution automation. We integrate decentralized oracle networks — including Chainlink Data Feeds — to power real-time pricing in our trading bots and dashboards.

The goal is simple: build trading infrastructure that is fast, reliable, and grounded in verifiable on-chain data. Every system AMC Labs ships is designed to run autonomously — no manual intervention, no guessing. Execution is mechanical and data-driven.

Operating independently from Ireland, AMC Labs focuses on prediction market arbitrage, cross-market discrepancy detection, and risk-controlled automated execution. The stack is lean. The output is live.

// tech stack

Tools & Technologies

🐍

Python

Primary execution language. Async I/O, parallel threading, REST + WebSocket clients, data processing.

Chainlink Data Feeds

On-chain price reference data. Direct smart contract reads for tamper-proof, decentralized pricing.

Solidity Basics

Smart contract interaction and read-only calls. ABI decoding, feed aggregator interfaces.

REST / WebSocket APIs

Real-time market data ingestion from exchanges and prediction market platforms.

Polygon Network

On-chain execution layer. Low-cost smart contract interactions and feed consumption.

On-Chain Execution

Automated transaction submission, gas management, Complete-or-Abort logic for safe order execution.

// philosophy

How AMC Labs operates

"Build lean. Ship fast. Trust the data."

— AMC Labs

Build Lean

No bloat, no unnecessary dependencies. Every component earns its place. Complexity is the enemy of reliability in live trading systems.

Ship Fast

Working systems in production beat perfect systems in development. Iterate in live environments with guard rails. Learn from real execution, not simulations.

Trust the Data

Decisions are data-driven and sourced from verifiable on-chain feeds. No manual overrides. No gut feeling. Oracle networks exist for a reason — use them.