Treeova publishes methodology whitepapers documenting the architecture and qualitative behavior of its AI trading systems. As of April 2026, eleven whitepapers are published: Security & Data Architecture (WP-09), Arch-AGI 7-Pass Conviction Methodology (WP-01), the Adaptive Risk Engine (WP-02), the Triconomic Engine (WP-06), the Methodology Note on Paper Trading Backtesting & RL Calibration (WP-10), Lossless Context Management (WP-03), the Market Intelligence Super-Swarm (WP-05), the ASI Evolution Engine (WP-04), the Meta-Agent Trading Stack (WP-07), the MetaChart Engine (WP-08), and TreeScript — A Safe DSL for Agent-Authored Indicators (WP-11). Each paper carries TechArticle JSON-LD; methodology papers add ScholarlyArticle.

    Treeova Whitepapers

    Methodology whitepapers covering Treeova's agentic trading systems and infrastructure.

    WP-09 Security & Data Architecture: row-level security, AES-256 broker token encryption, MFA-gated admin access, audit log, paper/live isolation.

    WP-01 Arch-AGI: 7-Pass Conviction Methodology: edge, scenario, R/R, regime, macro, RL calibration, adversarial stress.

    WP-02 Adaptive Risk Engine: deterministic Standard tier plus modulated Adaptive trailing tier; agents pull levers, platform performs risk arithmetic.

    WP-06 Triconomic Engine: database-driven economic layer governing the Triobol lifecycle with governance alerts and an append-only audit trail.

    WP-10 Methodology Note: paper-trading simulator fidelity, phase-aware success classification, regime-segmented Bayesian-style RL calibration, and explicit limitations.

    WP-03 Lossless Context Management: append-only ledger, RL-aware recursive summarization, and hybrid full-text + semantic retrieval for long-running agents.

    WP-05 Market Intelligence Super-Swarm: 10-pass hermetic pipeline with quality gating, self-recovery, and recursive webhook orchestration.

    WP-04 ASI Evolution Engine: four-agent pipeline (Researcher, Engineer, Analyzer, Judge) over named domains with hermetic evaluation contracts and status-based mutex safety.

    WP-07 Meta-Agent Trading Stack: agents as DAGs executed in topologically assembled phases with stall detection, shotgun prevention, goal sprint, self-healing, symbol pinning, and human-in-the-loop gates.

    WP-08 MetaChart Engine: charts as first-class agent tools on lightweight-charts + Three.js, with self-modulating indicators tuned by ASI Evolution, a vision pipeline, and pattern decay tracking.

    WP-11 TreeScript DSL: sandboxed domain-specific language for agent- and user-authored chart indicators, with audit log, Triobol metering, two-tier share visibility, 10-pin owner cap, and a single admin kill switch.

    Each whitepaper carries TechArticle JSON-LD; methodology papers add ScholarlyArticle.

    Whitepapers

    Methodology documentation for Treeova's agentic trading systems and infrastructure. Architecture and qualitative behavior — published. Proprietary internals — withheld by design.

    Published

    WP-09·Security·Updated 2026-04-18

    Security & Data Architecture

    Row-level security on every user table, AES-256-encrypted broker tokens, MFA-gated admin access, immutable audit log, and full paper/live isolation.

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    WP-01·Methodology·Updated 2026-04-18

    Arch-AGI: 7-Pass Conviction Methodology

    Treeova's conviction analysis engine. Seven sequential passes — edge, scenario, R/R, regime, macro, RL calibration, adversarial stress — produce a 0–100 conviction score with auditable rationale.

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    WP-02·Risk·Updated 2026-04-18

    Adaptive Risk Engine

    Two-tier protection model: deterministic Standard guardrails plus a context-modulated Adaptive trailing layer. Agents pull levers; platform code performs all risk arithmetic.

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    WP-06·Economics·Updated 2026-04-18

    Triconomic Engine: Database-Driven Economic Layer

    Database-driven economic layer governing the Triobol lifecycle. Single source of truth for every economic constant, structured governance alerts, and an append-only audit trail. Pricing formulas and tier multipliers are intentionally withheld.

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    WP-10·Methodology·Updated 2026-04-18

    Methodology Note: Paper Trading Backtesting & RL Calibration

    How Treeova evaluates AI agents in its paper environment and how regime-segmented Bayesian-style calibration updates expectations from observed outcomes. Past performance does not guarantee future results; PDF gated, HTML fully open.

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    WP-03·Memory·Updated 2026-04-18

    Lossless Context Management (LCM): Infinite Agent Memory

    Closed-loop context system: append-only ledger, RL-aware recursive summarization, and hybrid full-text + semantic retrieval so agents retain decision-grade signal across sessions without exceeding model context windows.

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    WP-05·Intelligence·Updated 2026-04-18

    Market Intelligence Super-Swarm: 10-Pass Pipeline

    Ten hermetic passes, each quality-gated (≥7/10) and self-recovering, orchestrated as a recursive webhook chain so state lives in the database between hops. Per-pass prompts and model assignments are withheld.

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    WP-04·ASI·Updated 2026-04-18

    ASI Evolution Engine: Self-Improving Configuration

    Four-agent pipeline (Researcher, Engineer, Analyzer, Judge) that proposes and evaluates configuration changes for named platform domains under hermetic evaluation contracts and a status-based mutex. PDF gated, HTML fully open.

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    WP-07·Agentic AI·Updated 2026-04-18

    Meta-Agent Trading Stack: DAG Execution Engine

    Agents modeled as DAGs of tool invocations executed in topologically assembled phases, with built-in safeguards (stall detection, shotgun prevention, goal sprint, self-healing, symbol pinning) and human-in-the-loop gates for sensitive actions.

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    WP-08·MetaChart·Updated 2026-04-18

    MetaChart Engine: Charts as First-Class Agent Tools

    Charts as first-class tools agents can invoke directly. Built on lightweight-charts and Three.js, with a self-modulating indicator framework tuned by the ASI Evolution Engine, a vision pipeline that converts renders into structured pattern signals, and a pattern decay tracker. Indicator math and modulation rules are withheld.

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    About these whitepapers

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