Financial APIs providing real-time, historical, and EOD data for stocks, forex, cryptocurrency, ETFs, commodities, and fundamental market data. If the parameters of the tool include symbol, figi, isin, and cusip, one of these four parameters must be selected as a required parameter.
This provider-level handoff preserves only its public ID. No tool or business task is guessed; choose a current tool during rediscovery before setup can be treated as complete.
The institutional holders endpoint provides detailed information on the percentage and amount of a company's stock owned by institutional investors, such as pension funds, insurance companies, and investment firms. This data is essential for understanding the influence and involvement of large entities in a company's ownership structure.
The instrument type endpoint lists all available financial instrument types, such as stocks, ETFs, and cryptos. This information is essential for users to identify and categorize different financial instruments when accessing or analyzing market data.
The intervals endpoint provides a list of supported time intervals that can be used for querying financial data.
The IPO Calendar endpoint provides detailed information on initial public offerings (IPOs), including those that have occurred in the past, are happening today, or are scheduled for the future. Users can access data such as company names, IPO dates, and offering details, allowing them to track and monitor IPO activity efficiently.
The Kaufman Adaptive Moving Average (KAMA) endpoint calculates the KAMA for a specified financial instrument, returning a time series of values that reflect the average price adjusted for market volatility. This endpoint helps users identify trends by smoothing out price fluctuations while remaining sensitive to significant price movements.
The Keltner Channel endpoint provides data for a volatility-based technical indicator that combines the Exponential Moving Average (EMA) and the Average True Range (ATR) to form a channel around a security's price. This endpoint returns the upper, middle, and lower bands of the channel, which can be used to identify potential overbought or oversold conditions, assess trend direction, and detect possible price breakouts.
The key executives endpoint provides detailed information about a company's key executives identified by a specific stock symbol. It returns data such as names, titles, and roles of the executives, which can be useful for understanding the leadership structure of the company.
The Know Sure Thing (KST) endpoint provides a momentum oscillator that combines four smoothed rates of change into a single trend-following indicator. This endpoint returns data that helps users identify potential trend reversals, as well as overbought or oversold conditions in the market.
The last change endpoint provides the most recent updates to fundamental data for a specified dataset. It returns a timestamp indicating when the data was last modified, allowing users to efficiently manage API requests by only fetching new data when changes occur. This helps optimize data retrieval and reduce unnecessary API credit usage.
The Linear Regression endpoint (LINEARREG) calculates the best-fit straight line through a series of financial data points. It returns the slope and intercept values of this line, allowing users to determine the overall direction of a market trend and identify potential support or resistance levels.
The Linear Regression Angle endpoint (LINEARREGANGLE) calculates the angle of the linear regression line for a given time series of stock prices. It returns the slope of the trend line, expressed in degrees, which helps users identify the direction and steepness of a trend over a specified period. This data is useful for detecting upward or downward trends in asset prices.
The Linear Regression Intercept endpoint (LINEARREGINTERCEPT) calculates the y-intercept of a linear regression line for a given dataset. It returns the value where the regression line crosses the y-axis, providing a numerical reference point for understanding the starting position of a trend over a specified period. This can be useful for users needing to establish baseline values in their data analysis.
The Linear Regression Slope endpoint (LINEARREGSLOPE) calculates the slope of a linear regression line for a given dataset, reflecting the rate of change in the data trend over a specified period. It returns a numerical value representing this slope, which can be used to assess the direction and strength of the trend in the dataset.
The Natural Logarithm (LN) endpoint computes the natural logarithm of a specified input value, returning a numerical result. This endpoint is useful for users needing to perform logarithmic transformations on data, which can be applied in various financial calculations and advanced mathematical analyses.
The Base-10 Logarithm (LOG10) endpoint computes the base-10 logarithm of a specified input value. It returns a numerical result that represents the power to which the number 10 must be raised to obtain the input value. This endpoint is useful for transforming data into a logarithmic scale, which can simplify the analysis of exponential growth patterns or compress large ranges of data in financial calculations.
The logo endpoint provides the official logo image for a specified company, cryptocurrency, or forex pair. This endpoint is useful for integrating visual branding elements into financial applications, websites, or reports, ensuring that users can easily identify and associate the correct logo with the respective financial asset.
The Moving Average (MA) endpoint provides the average price of a security over a specified time frame, offering a smoothed representation of price data. This endpoint returns the calculated moving average values, which can assist users in identifying price trends and potential support or resistance levels in the market.
This endpoint calculates the Moving Average Convergence Divergence (MACD) for a specified financial instrument. It returns the MACD line, signal line, and histogram values, which help users identify potential trend reversals and trading opportunities by analyzing the relationship between two moving averages.
The Moving Average Convergence Divergence (MACD) Slope endpoint provides the rate of change of the MACD line for a given security. It returns data on how quickly the MACD line is rising or falling, offering insights into the momentum shifts in the security's price. This information is useful for traders looking to gauge the speed of price movements and potential trend reversals.
The MESA Adaptive Moving Average (MAMA) endpoint calculates a moving average that adjusts to the dominant market cycle, offering a balance between quick response to price changes and noise reduction. It returns data that includes the adaptive moving average values, which can be used to identify trends and potential reversal points.
