Vektor - Landing

Workflow

Five stages keep speed from outrunning controls.

Step 01

Ingest and rank market evidence

News flow, fundamentals, macro releases, and technical state enter the system as structured context. Research is stored with sources so later review is possible.

Real-time market and macro feeds
Fundamental updates and earnings context
Signal ranking before trade construction begins

Step 02

Build a trade thesis

The fund manager agent converts raw evidence into a position proposal with direction, sizing, confidence, and exit assumptions.

Clear thesis with time horizon and sizing
Named catalysts and expected failure modes
Readable rationale instead of opaque output

Step 03

Challenge the idea with risk

A separate risk layer checks volatility, correlation, liquidity, portfolio concentration, and policy constraints before the trade can move ahead.

Independent risk opinion before execution
Circuit breakers for stressed conditions
Hard stops on concentration and exposure

Step 04

Execute in paper mode first

Strategies prove themselves in simulation while operators review the logic, fills, and controls. Live trading stays an explicit unlock, not the default state.

Simulated fills for workflow validation
Operator review before live capital is enabled
Continuous monitoring in the admin surface

Step 05

Keep the memory layer intact

Every decision is stored with supporting context so you can inspect the full history of a position after it is opened, closed, or overridden.

Decision lineage tied to each trade
Reviewable overrides and operator actions
Audit-friendly history for post-trade analysis

Example decision frame

A proposal is expected to read like an investment memo.

Trade proposal
Symbol: AAPL
Action: Buy
Thesis: Earnings strength and improving services mix support upside.
Sizing: 2.5% starter allocation
Risk gate: Pass only if concentration and volatility remain inside limits.
Execution mode: Paper until operator approval for live deployment.

Memory layer

Every trade keeps its receipts.

Event log
14:32:01 Research agent flagged earnings momentum
14:32:15 Fund manager proposed long thesis
14:32:20 Risk auditor approved paper-mode execution
14:32:21 Execution engine routed simulated order
14:45:00 Operator reviewed rationale in admin console

System guarantees

The UI should reinforce discipline, not hide it.

Paper-first rollout

The system begins in simulation so operators can learn the workflow, validate assumptions, and inspect controls before any live capital is at risk.

Readable decisions

Each proposal includes why the trade exists, what data supported it, and what conditions would invalidate it.

Manual control

Humans can pause, review, reject, or tighten constraints whenever the environment no longer matches the system's assumptions.

Persistent memory

Research, approvals, trade events, and overrides remain queryable so performance review is grounded in evidence.

How Vektor turns research into governed execution.