Notes on building the trading stack.
Deep dives on brokerage tech, market microstructure, prop infrastructure and go-to-market — written for operators, by a team that runs its own brokerage.
Payment methods for brokers: winning deposits in emerging markets
Why deposits fail exactly where broker growth happens, and how local payment methods, fiat ramps and a crypto gateway fit behind one integration.
Read article ↗Broker risk engine: why margin math must live on the server
What a broker risk engine actually does, why client-side margin math causes disputes and losses, and how server-side risk control works in production.
Read article ↗AI trading agents need guardrails, not autonomy
How to add an AI trading agent to a brokerage safely: server-side guardrails, session-only keys, human confirmation — lessons from running one in production.
Read article ↗Choosing a white-label trading platform in 2026: what actually matters
Every vendor promises a fast launch and a long feature list. After running a brokerage on our own stack, here are the seven questions that separate platforms that scale from platforms you migrate off in eighteen months.
Read article ↗Build or rent: why we wrote our own chart engine
Most brokers rent their charts from TradingView or ChartIQ and call it a day. We spent years building Flux — our own engine that renders a million candles at 120 fps. Here is the honest math behind that decision.
Read article ↗Anatomy of the Bicut stack: seven modules, one machine
A guided tour of the modular trading stack behind bicut.com: terminal, AI voice agent, signals, strategy lab, rooms, core and payments — what each module does, the numbers behind it, and how they snap together.
Read article ↗