historical borrow rates via api

Fintel provides comprehensive data on short borrow rates, which are crucial for understanding the costs and demand associated with short selling a particular stock. These rates, presented as an annualized percentage rate (APR), indicate the interest a short seller must pay to the lender of the security.1

Fintel updates its short borrow fee rates intraday, typically every 30 minutes, displaying the start, minimum, maximum, and latest rates for the day.1 This granular data is invaluable for identifying securities with high short demand, which can be a precursor to short squeeze potential or an indicator of strong bearish sentiment. While Fintel does offer an API for programmatic access to its data, specific details regarding the availability of historical borrow rates via API would typically be found in the official API documentation or by contacting Fintel's support. The platform itself provides historical views for individual stock pages, allowing users to track these rates over time.

Understanding the trajectory of borrow rates can provide insights into:

• Short Seller Conviction: Persistently high and rising borrow rates suggest strong demand to short a stock, often indicating a high conviction among short sellers.
• Supply and Demand Dynamics: Elevated rates can signal a limited supply of shares available for borrowing, increasing the cost for new short positions.
• Short Squeeze Potential: Rapid increases in borrow rates, especially when combined with high short interest, can be a key indicator of a potential short squeeze, as the cost of maintaining short positions becomes prohibitive.

You can explore individual stock pages on Fintel to view the current and historical borrow rate data available directly on the platform.

Consult Fintel's official API documentation to confirm the specific endpoints and data granularity available for historical borrow rates.

Consulting Fintel's official API documentation is indeed the most precise method to ascertain the specific endpoints and data granularity available for historical borrow rates. The API is designed to provide programmatic access to a wealth of Fintel's data, including short interest and borrow rate information, which is critical for quantitative analysis and algorithmic trading strategies.

Understanding the structure of the API, its available data fields, and the historical depth of the data is paramount for effective integration and analysis. Historical borrow rate data can be particularly valuable for:

• Backtesting Strategies: Evaluating the performance of short-squeeze or bearish strategies over various market conditions.
• Trend Analysis: Identifying long-term patterns in short interest and borrowing costs for specific securities or sectors.
• Risk Management: Quantifying the historical cost of maintaining short positions to better assess potential risks.

While Fintel's web platform offers visual historical charts for borrow rates on individual stock pages, the API would allow for automated data extraction and integration into custom models. It's essential to review the documentation for details on data update frequency, any rate limits, and the specific parameters required to query historical data effectively.

Verify the specific API endpoint for retrieving historical short borrow rate data.

Accessing Fintel's API documentation is indeed the definitive next step for anyone looking to programmatically retrieve historical short borrow rate data. This verification is crucial for ensuring accurate data integration into custom models and analytical platforms.

When reviewing the API documentation, specific attention should be paid to:

• Endpoint Structure: Identifying the exact URL path and required parameters for querying historical borrow rates. This often includes specifying a ticker, date ranges, and potentially data granularity (e.g., daily, hourly).
• Authentication: Understanding the necessary API keys or tokens for secure access to Fintel's data.
• Response Format: Familiarizing oneself with the data structure (e.g., JSON, CSV) and the specific fields returned, such as Start, Min, Max, and Latest borrow rates for a given period, as seen on Fintel's stock-specific short interest pages.
• Rate Limits and Usage Policies: Adhering to these guidelines is essential for maintaining uninterrupted access and efficient data retrieval.

Programmatic access to historical borrow rates allows for robust quantitative analysis, including backtesting trading strategies that incorporate short interest signals, performing in-depth trend analysis on borrowing costs, and developing predictive models for short squeeze potential. Fintel's platform itself provides historical views for these rates on individual stock pages, confirming the availability of this data over time.1

Investigate the parameters required by the API for filtering historical borrow rate data by ticker and date range.