Sector Index Transaction

Sector Index Transaction 📈

The Sector Index Transaction endpoint provides a historical record of transactions affecting an index’s holdings. It tracks changes in index composition, detailing buy and sell actions along with transaction sizes in percentage, USD, and token amounts. This helps traders and investors analyze index rebalancing events and market movements.

Key Features:

• Provides transaction details, including action type (buy, sell, increase, decrease).
• Returns transaction sizes in percentage terms, USD value, and token quantity.
• Includes timestamps for tracking the exact date of transactions.
• Supports portfolio analysis and trading automation by offering historical transaction insights.

Parameters: TYPE

Datapoints:

---

DATE

The timestamp, in YYYY-MM-DD format.

---

TOKEN_ID

Token ID for identifying each cryptocurrency (e.g., the Token ID of BTC is 3375).

---

TOKEN_NAME

The name of the crypto asset (e.g., Bitcoin).

---

TOKEN_SYMBOL

The symbol of the crypto asset (e.g., BTC).

---

ICON

Contains URLs for different sizes of the token's icon.

---

ACTION

The transaction type - either buy, sell, increase or decrease.

---

TRANSACTION_SIZE_IN_PCT

Represents the transaction size in percent.

---

TRANSACTION_SIZE_IN_USD

Represents the transaction size in USD amount.

---

TRANSACTION_SIZE_IN_TOKENS

Represents the transaction size in number of tokens.

---

TIMESTAMP

The timestamp, in YYYY-MM-DD format.

---

📘

Example Use Case:

Investors, traders, and analysts can use this endpoint to monitor the transaction history of an index. Some key applications include:

Tracking Index Adjustments: Users can see when and how index holdings change, such as buy/sell actions and allocation shifts.

Investment Decision-Making: Investors can analyze transaction trends to understand how an index is being managed and adjust their portfolios accordingly.

Market Activity Monitoring: Traders can use this data to identify liquidity movements and trading opportunities within an index.

Algorithmic Trading & Automation: Developers can integrate transaction data into trading bots for automated execution based on index transactions.