Token Analysis Flow

"Fast markets punish hesitation. Xemlok helps you understand movement instantly — not eventually."

Xemlok analyzes tokens through a fast, structured flow designed to extract meaningful behavior from noisy, real-time data. Instead of reading raw charts, the extension turns market activity into clean analytical signals the moment a token loads.

1

Trigger Event

Token analysis starts when:

• a token page is opened

• the contract changes

• the floating window requests a refresh

• the user presses Analyze Token

2

Data Collection Layer

Xemlok gathers several types of token-related signals:

A. Chart Behavior

• candle size changes

• wick-to-body ratio shifts

• acceleration or slowdown

• irregular sequences

B. Liquidity Signals

• current liquidity levels

• inflow/outflow trends

• liquidity strength

• sudden drops or divergence

C. Market Context

• micro vs macro trend

• stability of movement

• presence of manipulation patterns

"Charts show price. Behavior shows intent."

3

Data Types Used in Analysis

Category	Examples	Purpose
Chart Data	candles, wicks, volatility	detect movement behavior
Liquidity	inflow/outflow, strength	evaluate market stability
Pattern Signals	irregular shapes, spikes	identify manipulation

4

Data Normalization

Xemlok converts raw values into tags such as:

• volatility: high

• liquidity_direction: negative

• pattern: irregular

• momentum_state: unstable

5

Structured Prompt Creation

A structured dataset is generated, for example: Volatility: High Liquidity Trend: Downward Irregularities: Present Movement: Rapid rejection

6

AI Processing Phase & Result Formatting

The AI evaluates:

• risk indicators

• pattern integrity

• market irregularities

• volatility phases

• liquidity pressure

Output includes:

• risk level

• summary

• detailed notes

• recommended action

"Speed matters. Xemlok completes the entire analysis in under a second."