Treeova Trading Glossary
Definitions for options trading, AI agents, and platform concepts.
Treeova: A no-code AI-powered options trading automation platform that combines AI trading agents, paper trading, education, and 7+ broker integrations in one workspace.
Trading Workspace: Treeova's unified interface where users manage AI trading agents, view positions, run analysis, and monitor portfolio performance across connected brokers.
Agent Chain Generation: Treeova's prompt-based strategy builder that lets users create AI trading agents using natural language descriptions instead of code.
Arch-AGI: Treeova's multi-pass AI analysis engine that evaluates open options positions using conviction scoring, momentum analysis, scenario modeling, and reinforcement learning across up to 7 analytical passes.
Navigator: Treeova's AI-powered onboarding and guidance assistant that helps users learn the platform, set up their first strategies, and navigate features contextually.
Adaptive Risk Engine: Treeova's two-tier risk protection model combining deterministic Standard guardrails with a context-modulated Adaptive trailing tier. Agents pull levers; platform code performs all risk arithmetic.
Triconomic Engine: Treeova's database-driven economic layer governing the Triobol lifecycle. Single source of truth for every economic constant, with structured governance alerts and an append-only audit trail.
Lossless Context Management (LCM): Treeova's three-layer agent memory system: append-only message ledger, RL-aware recursive summarization, and hybrid full-text + semantic retrieval. Lets long-running agents retain decision-grade signal across sessions without exceeding model context windows.
Market Intelligence Super-Swarm: Treeova's 10-pass hermetic intelligence pipeline with quality gating (≥7/10), self-recovery, semantic deduplication, and recursive webhook orchestration.
ASI Evolution Engine: Treeova's self-improving configuration system: a 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.
Meta-Agent Trading Stack: Treeova's runtime for autonomous trading agents. Each agent is modeled as a DAG of tool invocations executed in topologically assembled phases with built-in safeguards and human-in-the-loop gates.
MetaChart Engine: Treeova's charting layer where charts are first-class tools agents can invoke directly. Built on lightweight-charts + Three.js, with self-modulating indicators tuned by ASI Evolution, a vision pipeline, and a pattern decay tracker.
Triobols: Treeova's internal platform credit system (₮) used to meter AI inference costs. Users receive Triobols through their subscription plan and spend them when AI agents run analysis or execute strategies.
Paper Trading: A risk-free simulated trading environment where users practice options strategies with a fully funded virtual portfolio before committing real capital.
Conviction Scoring: A numerical score (0-100) generated by Arch-AGI that represents the AI's confidence in a trade's expected outcome, based on technical, fundamental, and sentiment analysis.
IV Rank: Implied Volatility Rank measures where current implied volatility stands relative to its range over the past year. An IV Rank of 80 means current IV is higher than 80% of readings in the past year.
Delta: An options Greek measuring how much an option's price changes for a $1 move in the underlying stock. Delta also approximates the probability of the option expiring in-the-money.
Gamma: An options Greek measuring the rate of change of Delta. High Gamma means your directional exposure changes rapidly with stock price movement.
Theta: An options Greek measuring time decay — the daily erosion of an option's value as expiration approaches. Theta accelerates in the final weeks before expiration.
Vega: An options Greek measuring sensitivity to changes in implied volatility. High Vega means the option price is heavily influenced by volatility changes.
Iron Condor: A neutral options strategy combining a bull put spread and a bear call spread. It profits when the underlying stock stays within a defined price range and time decay erodes the premiums sold.
Covered Call: An options strategy where you sell a call option against 100 shares of stock you already own, collecting premium income while capping upside potential.
Poor Man's Covered Call: A capital-efficient alternative to a covered call using a deep in-the-money LEAPS call instead of 100 shares, combined with selling a shorter-term call option.
Jade Lizard: An options strategy combining a short put with a short call spread, designed to collect premium with no upside risk if structured properly.
OCC Symbol: The standardized option contract identifier format defined by the Options Clearing Corporation. Format: ROOT + EXPIRY(YYMMDD) + TYPE(C/P) + STRIKE(8 digits). Example: AAPL260417C00200000.
Security & Data Architecture: Treeova's defense-in-depth security model: row-level security on every user table, AES-256-encrypted broker tokens, MFA-gated admin access, immutable audit log, and full paper/live isolation.
Dark Pool Data: Off-exchange trading activity data that reveals institutional buying and selling patterns not visible on public exchanges. Treeova integrates dark pool flow analysis into AI agent decision-making.
Reinforcement Learning: A machine learning approach where Treeova's AI agents learn from the outcomes of past trades to improve future decision-making, adjusting conviction scores and strategy parameters over time.
LangGraph: The orchestration framework used by Treeova's AI trading agents to manage multi-step reasoning workflows, tool calls, and decision trees.
Prompt-Based Strategy Builder: Treeova's no-code interface for creating AI trading agents using natural language descriptions. Users describe their strategy in plain English, and the platform generates an executable agent.