Legion Trading Laboratory Policy

1. Purpose

The Legion Trading Laboratory is an educational environment designed to help users understand how AI models, trading systems, and structured analysis may evaluate financial markets.

The laboratory is intended to teach users how to analyse, question, review, and learn from model behaviour.

It is not intended to tell users what to trade.

2. Core Educational Principle

The core principle of the Legion Trading Laboratory is: watch the model think, analyse, manage risk, and review outcomes — do not blindly copy it.

3. Main Sections

The Legion Trading Laboratory may include Live AI Analysis, Model Activity, an AI Decision Engine, Learning Review, Historical Examples, Journal features, Quiz features, and education tracking.

Live AI Analysis may display live market context, chart analysis, trend, market structure, liquidity concepts, volatility, session information, and current model observations.

Model Activity may show what the Legion model is doing, such as monitoring, analysing, entering a model position, managing risk, moving to breakeven, taking partial profit, closing, or reviewing.

AI Decision Engine features may explain why the model identified a scenario or acted in a certain way, including factors such as trend alignment, liquidity, session timing, volatility, risk parameters, expected value, or model rules.

Learning Review features may explain what happened after a scenario or model trade, what changed, what worked, what failed, and what can be learned.

Historical Examples may show similar past scenarios to support pattern recognition and learning.

Journal and Quiz features may encourage users to record observations, answer reflection prompts, complete quizzes, and track learning progress.

4. Live Data

The Legion Trading Laboratory may use live market data and live chart displays.

Live market data is used to support learning. It does not automatically mean Legion Algo Labs is providing financial advice.

Because live data can increase legal and user-risk sensitivity, live features should be carefully reviewed before launch.

5. Language Rules

The laboratory should avoid language that sounds like a direct instruction to trade.

Avoid wording such as buy now, sell now, enter here, close here, copy this trade, guaranteed, risk-free, easy profit, must take, or sure win.

Prefer wording such as educational scenario, illustrative framework, model observation, potential scenario, example risk level, illustrative invalidation, model activity, learning review, historical comparison, this demonstrates, or the model identified.

6. Trade Frameworks

If the laboratory displays levels, they should be framed as illustrative model levels or educational framework levels.

Examples include Illustrative Entry Zone, Illustrative Invalidation Level, Illustrative Objectives, Educational Risk Framework, or Model Management Example.

These should not be presented as instructions for users to execute trades.

7. No Broker Execution Path

For the education-first version of the laboratory, there should be no direct trade execution button attached to a model scenario.

The user should not be pushed from an educational model example directly into a broker order screen.

Broker information, if included, should be separated from specific model scenarios and supported by clear risk and conflict disclosures.

8. AI Assistant Guardrails

The Legion AI Assistant should not answer user questions with direct personalised trade instructions.

If a user asks whether they should buy, sell, enter a trade, risk a specific amount, or copy the bot, the assistant should redirect to education, risk frameworks, general considerations, and user responsibility.

9. User Responsibility

Users remain responsible for all trading decisions.

The laboratory is designed to support education, not to replace independent judgement or professional advice.

10. Compliance Review

Before launching live market data, live model activity, paid laboratory access, AI assistant trading explanations, broker relationships, or any feature that may look like trade recommendation functionality, Legion Algo Labs should obtain specialist New Zealand financial services legal advice.

The review should include screen layouts, wording, app flows, AI prompts and guardrails, example outputs, broker disclosures, marketing language, terms, and disclaimers.

11. Future Advanced Or Regulated Products

If Legion Algo Labs later decides to offer live signals, personalised trade guidance, broker-integrated execution, copy trading, managed trading, or other regulated services, those should be treated as a separate product line with appropriate legal and regulatory review.

This may require Financial Advice Provider licensing or other compliance architecture.

Footer Note

The Legion Trading Laboratory is intended to be a learning environment. Its purpose is to teach users how structured models analyse markets, manage risk, and review outcomes — not to tell users what trades to take.