Agent Z
Systematic trading workflow

Turn trading strategy ideasinto reviewable packets.

Each packet contains the strategy spec, evidence record, review notes, blockers, and readiness checklist.

Built for systematic trading teams at boutique funds, PMS/AIF managers, and family offices that need a clearer path from thesis to evidence before paper review.

SpecEvidenceReviewBlockersReadiness
Boutique funds
PMS / AIF teams
Family offices
Systematic trading teams

Example workflow

One strategy idea, made reviewable.

Start with a plain research prompt. AgentZ turns it into a packet your team can inspect, challenge, and approve.

Research prompt

Multi-timeframe MACD test

Test a multi-timeframe MACD momentum strategy across 60 liquid Indian equities, using daily entries with weekly trend confirmation, from January 2022 to December 2024.

The team starts from a real trading question, not a blank workflow document.

Structured packet

AgentZ turns the prompt into reviewable output.

AgentZ turns the prompt into a structured research packet your team can inspect before paper review.

Strategy Spec

Universe, timeframe, signal rules, entry/exit logic, filters, assumptions.

Evidence Record

Backtest runs, data window, parameter context, version lineage, limitations.

Review Notes

Reviewer comments, parity checks, risk concerns, unresolved questions.

Readiness Checklist

Blockers, paper-review status, required human approval, next action.

Artifact journey

What your team actually receives.

AgentZ is useful only if the output is readable. The workflow turns each systematic trading strategy idea into connected research artifacts your team can inspect, review, and revisit.

Product output

SPSpec
EVEvidence
RNReview
RCReady

One trading idea becomes a reviewable research packet your team can inspect.

Inspectable artifact

Active artifact

Strategy Spec

Your team sees what the idea is supposed to do before research, code, or review begins.

Example output

Mean reversion thesis on liquid large caps. Entry, exit, filters, and no-go conditions captured before build.

Contains

Market universe
Entry and exit thesis
Assumptions
Risk boundaries
Next: approvals decide movement

Human approval gates

Human gates before the workflow moves forward.

Why it matters

Ideas, assumptions, code, tests, reviews, and approvals often live in different places. AgentZ gives that strategy workflow a memory, then asks for approval at the right boundaries.

Approval gate

Operator-visible

Active gate: Thesis approval

Define the strategy before work begins

Markets, assumptions, controls, and failure boundaries are made explicit before the workflow moves forward.

Universe

Defined by team

Assumptions

Recorded

Next step

Approve build

Thesis

Capture oversold reversions in liquid names with clear boundaries and operator review.

Controls

No auto-promotion. No implied trading action. The workflow waits for explicit approval.

Operator-owned
Assumptions visible
Review ready

The operator signs off on intent before build generation advances.

Next: what the team receives

What the team receives

A systematic trading workflow with memory.

AgentZ is not trying to replace the investment team. It gives the team cleaner evidence context, review history, and a readiness view before decisions move forward.

Practical value

A PM can return to one trading strategy and see intent, evidence, open questions, and next approval without reconstructing the work from scattered files.

ArtifactWhat it givesOutput
SP

Shared intent

Strategy spec

Requirements, assumptions, market universe, and operator boundaries are agreed before build work begins.

Shared intent
EV

Evidence context

Evidence record

Runs, data context, lineage, validation status, and known limitations stay attached to the strategy version.

Evidence context
RN

Decision trail

Review notes

Reviewer comments, open blockers, and owner decisions stay visible instead of disappearing into chats.

Decision trail
RC

Blocker view

Readiness checklist

The team sees what is ready, what is unresolved, and which human approval is needed next.

Blocker view
Next: boundaries stay explicit

Oversight boundary

AgentZ is not a market-call service.

It is a supervised workflow layer for making strategy work more inspectable. Market risk decisions, capital decisions, and approvals remain with the team.

Not a broker

AgentZ does not place trades or custody assets.

Not an allocator

Portfolio allocation and capital decisions remain with your team.

Not a market-call service

It does not sell directional calls, tips, or profit promises.

Not autonomous live-money

The workflow is supervised, gated, and operator-owned.

Validation surface

Approval gates stay visible.

Reviewer gateHuman decision
Parity readinessEvidence required
Paper-readinessSupervised review

Operating principle

AgentZ keeps unresolved evidence gaps visible before approval.

Design-partner conversation

Bring one live trading strategy idea or workflow bottleneck.

In 20 minutes, we will map how your team currently moves from trading thesis to evidence and show where AgentZ can make that workflow more inspectable.