Dark Pool Blockchain Analytics

Implementation Details

Class Names

Model Name	Parameters Class	Data Class
DarkPoolAnalytics	DarkPoolQueryParams	DarkPoolData

Import Statement

pythonCopyEditfrom satoshi_terminal.models.dark_pool_analytics import (
    DarkPoolAnalytics,
    DarkPoolQueryParams,
    DarkPoolData,
)

---

Parameters

Name	Type	Description	Default	Optional
token_symbol	Union[str, List[str]]	Tokens to track in private liquidity pools.	None	False
time_horizon	int	Time period (in hours) for analyzing liquidity trends.	24	True
pool_type	str	Type of pool to analyze (e.g., "OTC," "Private AMMs").	None	True

---

Data

Name	Type	Description
pool_name	str	Name of the private liquidity pool being analyzed.
liquidity_depth	float	Estimated depth of liquidity in the pool.
token_symbol	str	Token being analyzed within the pool.
transaction_volume	float	Volume of transactions in the pool over the specified period.
timestamp	datetime	Timestamp of the analysis.

---

Key Features

• Hidden Liquidity Analysis: Monitors private liquidity pools and OTC markets for trading patterns.

• Transaction Volume Estimation: Provides insights into hidden market activity that can impact public markets.

• Cross-Pool Correlations: Identifies patterns linking dark pool activity with public market trends.