"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."
