> For the complete documentation index, see [llms.txt](https://g-intel.gitbook.io/g-intel-docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://g-intel.gitbook.io/g-intel-docs/opportunity-identification.md).

# Opportunity Identification

How MIE uses market data, mean models, opportunity scoring and signal filters to evaluate trade conditions.

## From market data to validated conditions

Identifying a price movement is not the same as identifying an actionable trade. MIE's intelligence layers analyze market conditions before parameters reach the execution engine.

### 01 — Market Intelligence

Data streams, price relationships, volatility regimes and potential mispricing are monitored to provide context.

### 02 — Strategy Intelligence

Mean models and deviation analysis help assess opportunity conditions. The system applies **opportunity scoring, signal-noise filtering and trade-parameter definition**.

### 03 — Risk Screening

Position sizing, exposure limits, slippage conditions and account-health parameters help determine whether a proposed action is compatible with the system's risk controls.

### 04 — Execution Decision

Only conditions that satisfy the applicable strategy and risk criteria proceed to order generation and execution management.

**Market data → Mean-deviation analysis → Validation → Risk checks → Execution parameters**

Signals and scoring represent model assessments, not guarantees of trade profitability.