Retail Systematic Trading Platform

The Vision

Some retail traders want to operate systematically — to treat trading as a disciplined, repeatable process rather than a series of discretionary decisions. They want rules they can test, execution they can trust, and an operation they can keep improving. The tools available to them do not support that ambition.

Commercial retail platforms are built for convenience, not control. They hide their internals, meter access to data, enforce their own risk rules, and fragment the operation across disconnected products — a charting tool here, an order terminal there, a spreadsheet for tracking risk. Each piece works on its own; none of them compose into a whole the trader can see and reason about. Underneath it all sits lock-in: your strategies, your data, and your workflow live inside someone else’s system, on their terms.

This platform is for the trader who refuses that trade-off. One coherent system — self-hosted and owned outright — that treats the trading operation as a single whole rather than a pile of separate tools: data, strategy, execution, and risk in one place, in view, and open to extension as the trader’s edge develops.

Why This Is Needed

Two options exist today, and both fail the systematic retail trader.

Commercial platforms give you the pieces but never the whole. Execution quality is opaque, data access is metered, and risk controls are the platform’s rather than yours. The automation, where it exists at all, runs inside the broker’s environment — under their rules, on their timeline, with their reliability guarantees. When the platform goes down, your strategy goes down with it. And because each capability lives in a separate product, you are left stitching a coherent operation together by hand, never able to see it as one system.

Building it yourself is the other option, and it is a trap. Market data ingestion, order management, broker connectivity, backtesting, risk controls, live monitoring — each is individually tractable, but together they consume the time that should be going toward strategy. Most capable traders who attempt it either never finish or finish so late the stack is already stale.

The gap is a foundation: a coherent, opinionated starting point that covers the whole operation, keeps the trader in control, and stays open to extension — so the work goes into the edge, not the infrastructure.

How We’re Building It

The platform is built on the RAD Stack — a single deployable artifact, an embedded database, and a minimal operational surface. On that foundation, it composes everything a trading operation needs — from market data and strategy development through execution, orchestration, and risk management — into one coherent system you deploy and own outright, rather than a set of products stitched together after the fact.

None of it is invented here. Every tool the platform builds on is mature, well-understood, and maintained by a community far larger than this project. The platform does not compete with them — it stands on them. What it contributes is the composition: the glue between the parts, and a deployment you own end to end. The work worth doing is knowing which shoulders to stand on and adding precision where the joints between them matter.

The specifics — the components, how each works, and the decisions behind them — are documented as the build progresses. This page describes the shape of the system; the writings cover what goes into it.

What We’re Building

This venture produces a self-hosted trading platform — developed under Alpha Phase Studio AB — that a single retail trader can deploy, operate, and extend as one coherent system. Not a SaaS product, not a framework, not a tutorial, and not a pile of disconnected tools: a working operation you run on your own infrastructure and own completely.

There is a second purpose, worth stating plainly. The Digital Solution Lifecycle Model needs a concrete case to be applied against — a real solution built under real conditions, where the model’s classification, processes, activities, and deliverables are put to actual use rather than described in the abstract. This platform is that case. Building it under the model surfaces what the model gets right, what it gets wrong, and what it does not yet cover. The model improves from the practice; the platform benefits from having a disciplined lifecycle framework from the start.

The platform is in active development and being built against a real trading operation — the feedback loop between the code and actual use is the quality mechanism. Features are added when they are needed in practice, not speculatively, so the system grows in the order real trading demands rather than to a fixed spec.

The design is deliberately opinionated for the target: a single trader running a focused strategy set, not a multi-user platform or a fund-grade system. If you outgrow it, the RAD Stack foundation is designed to be replaced piece by piece rather than all at once.