Indices Holdings

Indices Holdings 📈

The Indices Holdings endpoint provides real-time data on the composition of a given index. It returns a list of tokens included in the index along with their respective allocations (weights) in percentage terms. This allows users to track the latest structure of the index and make informed investment or trading decisions.

Parameters: ID

Datapoints:

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TOKEN_ID

Token ID for identifying each cryptocurrency (e.g., the Token ID of BTC is 3375). To Get the full list of coins and their associated TOKEN_ID supported by Token Metrics Click Here

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TOKEN_NAME

Token Name for identifying each cryptocurrency (e.g., the Token Name of BTC is Bitcoin).

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TOKEN_SYMBOL

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

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COIN

Common or display name of the cryptocurrency.

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WEIGHT

Weightage of the token in the index (as a percentage or ratio).

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MARKET_CAP

Market capitalization of the token in USD.

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PRICE

Current price of the token in USD.

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CURRENT_ROI

Current Return on Investment relative to the index.

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TRADER_GRADE

The short-term Token Metrics Trader Grade comprises all of the aforementioned indicators.

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TRADER_GRADE_CHANGE_24H

Represents the 24h percentage change in the Token Metrics Trader grade.

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ICON

URL to the token’s icon image.

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DATE

Date of the data snapshot (ISO timestamp).

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Example Use Case:

The Index Holdings endpoint is useful for traders, investors, and developers who need real-time data on index compositions. By retrieving the current holdings of a given index, along with their respective weights, users can:

Automate Portfolio Rebalancing: Algorithmic traders can use this data to adjust their portfolios based on the index's latest allocations.

Risk Analysis & Exposure Tracking: Investors can analyze their exposure to specific tokens and chains within an index.

Token Trend Monitoring: Users can track changes in index allocations over time to identify trends in token inclusion and weighting.

Building Custom Trading Strategies: Developers can integrate this endpoint into trading bots to execute trades based on the index’s composition.

Index Performance Evaluation: By combining index data with market price feeds, analysts can assess the performance of different index holdings