Twelve Data API (Market Data)

The Standard Deviation (STDDEV) endpoint calculates the dispersion of a financial instrument's price data from its average value. It returns a numerical value representing the volatility of the asset over a specified period. This endpoint is useful for traders and analysts to assess price variability and identify periods of high or low volatility in the market.

The Stochastic Oscillator endpoint provides data on a momentum indicator that evaluates a security's closing price relative to its price range over a specified timeframe. It returns values indicating potential overbought or oversold conditions, aiding in identifying possible trend reversals. Users receive the %K and %D values, which are essential for analyzing the momentum and potential turning points in the market.

The Stochastic Fast (STOCHF) endpoint calculates the fast version of the Stochastic Oscillator, providing data on the momentum of a financial instrument by comparing a particular closing price to a range of its prices over a specified period. This endpoint returns the %K and %D values, which are used to identify potential overbought or oversold conditions in the market. It is useful for traders who need quick, responsive insights into price movements, although it may generate more false signals due to its sensitivity.

The Stochastic Relative Strength Index (Stochastic RSI) endpoint calculates the Stochastic RSI values for a given financial instrument, providing data on its momentum and potential price reversals. This endpoint returns time-series data, including the %K and %D lines, which help users identify overbought or oversold conditions. Ideal for traders seeking to refine entry and exit points by analyzing short-term price movements.

The stocks endpoint provides a daily updated list of all available stock symbols. It returns an array containing the symbols, which can be used to identify and access specific stock data across various services. This endpoint is essential for users needing to retrieve the latest stock symbol information for further data requests or integration into financial applications.

The Subtraction (SUB) endpoint calculates the difference between two input data series, such as technical indicators or price data. It returns a time series of the resulting values, allowing users to compare or normalize data by highlighting the variance between the two series.

The Summation (SUM) endpoint calculates the cumulative total of a specified data series over a defined time period. It returns a numerical value representing the sum, which can be used to track the aggregate value of financial data, such as stock prices or trading volumes, over time. This endpoint is useful for users needing to compute the total accumulation of a dataset for further analysis or reporting.

The Supertrend endpoint provides data on the Supertrend indicator, a tool used to identify potential buy and sell signals in trending markets. It returns values that indicate the current trend direction and potential reversal points based on price, time, and volatility. Users can leverage this data to pinpoint optimal entry and exit points for trades.

The Supertrend Heikin Ashi candles endpoint provides data combining Supertrend signals with Heikin Ashi candlestick patterns. It returns a series of data points indicating trend direction and smoothed price movements, useful for identifying potential buy or sell opportunities in trading.

The symbol search endpoint allows users to find financial instruments by name or symbol. It returns a list of matching symbols, ordered by relevance, with the most relevant instrument first. This is useful for quickly locating specific stocks, ETFs, or other financial instruments when only partial information is available.

The Triple Exponential Moving Average (T3MA) endpoint calculates a smoothed moving average using three exponential moving averages on price data. It returns a dataset that highlights price trends with reduced lag, offering precise trend analysis. This is useful for identifying trend direction and potential reversal points.

The technical indicators endpoint provides a comprehensive list of available technical indicators, each represented as an object. This endpoint is useful for developers looking to integrate a variety of technical analysis tools into their applications, allowing for streamlined access to indicator data without needing to manually configure each one.

The Triple Exponential Moving Average (TEMA) endpoint calculates and returns the TEMA values for a specified financial instrument over a given time period. This endpoint provides a series of data points that smooth out price fluctuations by applying three layers of exponential moving averages, allowing users to identify and track underlying trends in the instrument's price movement.

The Time Series Cross endpoint calculates and returns historical cross-rate data for exotic forex pairs, cryptocurrencies, or stocks (e.g., Apple Inc. price in Indian Rupees) on the fly. It provides metadata about the requested symbol and a time series array with Open, High, Low, and Close prices, sorted descending by time, enabling analysis of price history and market trends.

The True Range (TRANGE) endpoint calculates the range of price movement for a specified period, providing a measure of market volatility. It returns data that includes the highest and lowest prices over the period, along with the closing price from the previous period. This information is useful for traders to assess market volatility and adjust their trading strategies accordingly.

The Triangular Moving Average (TRIMA) endpoint calculates and returns the smoothed average price of a financial security over a specified period, with a focus on central data points. This endpoint provides a balanced view of price trends by applying a double smoothing process, making it useful for identifying underlying price patterns and reducing short-term fluctuations.

The Time Series Forecast (TSF) endpoint provides projected future price levels using linear regression analysis. It returns data that helps users identify potential support and resistance levels, as well as trend direction in a financial market. This endpoint is useful for traders seeking to anticipate price movements and adjust their strategies accordingly.

The Typical Price (TYPPRICE) endpoint calculates and returns the average of a financial instrument's high, low, and close prices for a given period. This endpoint provides a simplified metric that reflects the central tendency of price movements, useful for traders and analysts who need a straightforward view of price trends.

The Ultimate Oscillator endpoint (/ultosc) calculates a momentum oscillator that integrates short, intermediate, and long-term price movements to detect potential overbought or oversold conditions and possible trend reversals. It returns a time series of oscillator values, which can be used to assess market momentum and identify entry or exit points in trading strategies.

The Variance (VAR) endpoint calculates the statistical variance of a financial data series, providing a measure of how much the data points deviate from the average value. It returns a numerical value representing this dispersion, which can be used to assess the volatility of a security over a specified period. This information is crucial for traders and analysts who need to evaluate the risk associated with price fluctuations in the market.