ZTRADER MEMORY OS

Decode the Market Matrix.
Command the Z-AI Oracle.

This is not a decorative chat page. It is the central memory layer for research, strategy, signals, execution logic, and module routing across the Ztrader system.

Mode: Central Memory LayerState: File-backed Memory V4.1Engine: Cards / Sources / Logs / Modules
Ztrader Oracle Unicorn
Central research brain, strategy bridge, and memory router.

Memory Library Preview

A central memory layer should show its inventory, not just pretend it knows things.

Library Count

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Structured memory cards currently available in the file-backed layer.

Source Count

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Frameworks, notes, playbooks, and primers connected to memory objects.

Recent Queries

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Latest logged queries written through the query route and dynamic API layer.

Representative Cards

Current top objects available in the local memory spine.

    Recent Query Logs

    The system should remember what has been asked, not just what looks pretty.

    • No query logs yetAsk something and the memory trail will appear here.

    Connected Modules

    These modules should eventually read from and write to the same memory spine instead of behaving like separate little kingdoms.

    Research

    Macro Research

    Cross-asset macro notes, event frameworks, rates, FX, commodities, and geopolitical stress mapping.

    Derivatives

    Options Lab

    Volatility structure, options playbooks, earnings setups, skew, term structure, and scenario mapping.

    Execution

    Order Flow

    Execution logic, liquidity windows, bid/ask microstructure, flow interpretation, and forced unwind signals.

    Event

    Earnings

    Earnings framework, gap logic, post-print behavior, positioning, and cross-sector sensitivity analysis.

    Charts

    Technical Charts

    Structure phase, momentum bias, candle context, support/resistance, and annotated market map generation.

    Quant

    Quant Engine

    Factor logic, signal definitions, backtest modules, ranking engines, and screening workflows.

    Strategy

    Strategy Pod

    CTA, macro, event, execution, and hybrid strategy pods linked to regime-aware memory objects.

    Risk

    Risk Monitor

    Shock regime handling, position discipline, execution risk, scenario stress, and portfolio constraint logic.

    Recent Memory Objects

    Cards are the useful unit. Not just random chunks floating in a vector swamp.

    Event Card · Energy · Geopolitics

    Oil Shock Framework

    Hormuz chokepoint, logistics shock, physical supply repricing, and macro spillover path.

    Strategy Card · CTA · Execution

    Dual-Blade CTA

    Direction filter first, vulnerable liquidity window second. Trade only when both blades align.

    Macro Card · FX · Funding

    USDJPY Basis Tension

    Dollar funding stress, basis pressure, intervention risk, and cross-border balance sheet tension.

    Playbook Card · Equities · Event

    Earnings Gap Playbook

    Pre-print setup, implied move, post-gap behavior, and failure patterns after the first hour.

    System Architecture Preview

    The future RAG core should not be “chat only”. It should route between retrieval, graph, structured data, and tool modules.

    User Query
    Intent Router
    Retrieval + Graph + Data
    Context Builder
    Answer / Module Launch

    Memory Layer

    Documents, chunks, cards, graph edges, citations, and structured research objects.

    Query Router

    Ask, research, strategy, data, and module-launch requests are routed through different retrieval paths.

    Module Bridge

    Macro, options, order flow, quant, charts, and risk tools should all consume one shared memory spine.

    NEXT BUILD TARGET

    From file-backed memory to real retrieval spine.

    Next step: replace local json and stub routing with a real documents table, cards table, source table, query logs table, DAL-based access, and retrieval primitives that can later connect to embeddings and citations.