High-Frequency Trader Detection

Implementation Details

Class Names

Model Name	Parameters Class	Data Class
HighFrequencyTraderDetection	HighFrequencyTraderQueryParams	HighFrequencyTraderData

Import Statement

pythonCopyEditfrom satoshi_terminal.models.high_frequency_trader_detection import (
    HighFrequencyTraderDetection,
    HighFrequencyTraderQueryParams,
    HighFrequencyTraderData,
)

---

Parameters

Name	Type	Description	Default	Optional
blockchain_name	str	Blockchain to monitor for high-frequency trading activity.	None	False
time_window	int	Time window (in minutes) to detect trading patterns.	60	True
trade_frequency_threshold	int	Minimum number of trades per minute to flag as high-frequency.	10	True

---

Data

Name	Type	Description
trader_id	str	Identifier of the detected high-frequency trader (e.g., wallet address).
trade_count	int	Number of trades executed in the specified time window.
transaction_volume	float	Total transaction volume (in USD).
market_impact	float	Estimated market impact of the detected activity.
timestamp	datetime	Timestamp of the detection.

---

Key Features

• Real-Time Detection: Monitors and flags high-frequency trading activity in real time.

• Market Impact Estimation: Quantifies how detected trading patterns influence market prices.

• Customizable Thresholds: Allows users to define thresholds for trade frequency and volume.