Options Trading Glossary

Plain-English definitions for the options, AI, and platform terms you'll encounter across Treeova.

Options trading sits at the intersection of three vocabularies — the classical Greeks (delta, gamma, theta, vega), the strategy language of multi-leg structures (iron condors, jade lizards, poor man's covered calls), and the newer dialect of AI-driven execution (conviction scoring, reinforcement learning, agent chains). Treeova's glossary collects all three in one place so a beginner reading an agent's reasoning doesn't have to keep five tabs open.

The terms below are the same ones used throughout the Education Hub, the technical whitepapers, and the Trading Workspace. When a glossary entry has a deeper write-up — typically the platform engines like Arch-AGI, the Adaptive Risk Engine, and the Triconomic Engine — you can click through to a dedicated page with 300–500 words of context on how it actually works inside Treeova.

We've grouped terms into five categories: Platform (how Treeova itself is built), Economy (Triobols and paper trading), Options Trading (the classic vocabulary every options trader needs), Security (how user accounts and broker credentials are protected), and Technology (the data feeds and ML techniques underneath the agents). Use the search box to jump to a specific term, or scroll through a category to build a mental map of the domain. If you're brand new to options, the Options 101 track walks through the foundational terms in a guided sequence; if you already know the Greeks and want to understand how Treeova's agents apply them, jump to the Arch-AGI methodology paper and the Meta-Agent Trading Stack overview.

A note on staleness: the platform terms in this glossary are kept in lockstep with the underlying engines via a single source of truth in the codebase, so when an engine evolves (the ASI Evolution Engine literally evolves itself), the definitions here update with it. Options vocabulary, by contrast, is stable — delta has meant the same thing since the 1970s. If something on this page reads as out of date, it's a content bug and we'd like to know.

Economy

How value flows through the platform. Triobols meter AI inference, paper trading lets users practice without risking capital, and the Triconomic Engine governs both as a single, audited economic system.

Triobols Read more: 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. Whitepaper →
Paper Trading Read more: A risk-free simulated trading environment where users practice options strategies with a fully funded virtual portfolio before committing real capital. Whitepaper →

Options Trading

Core options vocabulary every Treeova user encounters when reading an agent's reasoning, sizing a position, or interpreting a fill — from Greeks to multi-leg strategy structures.

Conviction Scoring Read more: 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. Whitepaper →
IV Rank Read more: 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 Read more: 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 Read more: An options Greek measuring the rate of change of Delta. High Gamma means your directional exposure changes rapidly with stock price movement.
Theta Read more: 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 Read more: An options Greek measuring sensitivity to changes in implied volatility. High Vega means the option price is heavily influenced by volatility changes.
Iron Condor Read more: 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 Read more: 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 Read more: 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 Read more: 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 Read more: The standardized option contract identifier format defined by the Options Clearing Corporation. Format: ROOT + EXPIRY(YYMMDD) + TYPE(C/P) + STRIKE(8 digits). Example: AAPL260417C00200000.

Platform

Concepts that describe how Treeova itself is built — the workspace, the AI engines that drive analysis and execution, and the runtime that ties autonomous agents to real broker accounts.

Treeova Read more: 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 Read more: Treeova's unified interface where users manage AI trading agents, view positions, run analysis, and monitor portfolio performance across connected brokers.
Agent Chain Generation Read more: Treeova's prompt-based strategy builder that lets users create AI trading agents using natural language descriptions instead of code.
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 Read more: 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. Whitepaper →
Navigator Read more: 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 Read more: 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. Whitepaper →
Triconomic Engine Read more: 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. Whitepaper →
Lossless Context Management (LCM)Read more: 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. Whitepaper →
Market Intelligence Super-Swarm Read more: Treeova's 10-pass hermetic intelligence pipeline with quality gating (≥7/10), self-recovery, semantic deduplication, and recursive webhook orchestration. Whitepaper →
ASI Evolution Engine Read more: 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. Whitepaper →
Meta-Agent Trading Stack Read more: 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. Whitepaper →
MetaChart Engine Read more: 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. Whitepaper →

Security

Controls that protect user accounts, broker credentials, and the audit trail behind every trade decision.

Security & Data Architecture Read more: 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. Whitepaper →

Technology

The data feeds, machine-learning techniques, and orchestration layers underneath Treeova's AI agents.

Dark Pool Data Read more: 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 Read more: 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 Read more: 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 Read more: 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.

Glossary FAQ

What is the Treeova glossary?

The Treeova glossary defines key terms used across the platform including options trading concepts, AI capabilities, and platform-specific features like Triobols and Arch-AGI.

What are Triobols in Treeova?

Triobols (₮) are Treeova's internal credit system for metering AI inference costs. Users receive Triobols through their subscription and spend them when AI agents analyze positions or execute strategies.

What does conviction scoring mean?

Conviction scoring is a 0-100 numerical score generated by Arch-AGI that represents the AI's confidence in a trade's expected outcome, incorporating technical analysis, fundamentals, and sentiment data.