fastFOREX
fastFOREX is a high-performance exchange rate API that delivers real-time and historical foreign currency exchange rate data and cryptocurrency pricing through a fast, simple, secure JSON API over HTTPS. It supports more than 160 world currencies, including major, minor, and exotic pairs, and pricing data for 500+ cryptocurrencies with low-millisecond response times, helping applications get up-to-date conversion data quickly. The API offers multiple endpoints to fetch single or multiple currency rates, complete lists of rates, time-series datasets for specified intervals, and conversion of amounts between any supported fiat or digital currencies. Data is sourced from trusted financial institutions and world banks to ensure accuracy and reliability, and responses can be integrated from any HTTP client or browser. It provides extensive historical coverage reaching back decades for common trading pairs, scalable volume handling from occasional requests to hundreds per second.
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kdb+
A high-performance cross-platform historical time-series columnar database featuring:
- An in-memory compute engine
- A real-time streaming processor
- An expressive query and programming language called q
kdb+ powers kdb Insights portfolio and KDB.AI, together delivering time-oriented data insights and generative AI capabilities to the world’s leading enterprise organizations. Independently benchmarked* as the fastest in-memory, columnar analytics database available, kdb+ delivers unmatched value to businesses operating in the toughest data environments. kdb+ improves decision-making processes to help navigate rapidly changing data landscapes.
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Nixtla
Nixtla is a platform for time-series forecasting and anomaly detection built around its flagship model TimeGPT, described as the first generative AI foundation model for time-series data. It was trained on over 100 billion data points spanning domains such as retail, energy, finance, IoT, healthcare, weather, web traffic, and more, allowing it to make accurate zero-shot predictions across a wide variety of use cases. With just a few lines of code (e.g., via their Python SDK), users can supply historical data and immediately generate forecasts or detect anomalies, even for irregular or sparse time series, and without needing to build or train models from scratch. TimeGPT supports advanced features like handling exogenous variables (e.g., events, prices), forecasting multiple time-series at once, custom loss functions, cross-validation, prediction intervals, and model fine-tuning on bespoke datasets.
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Azure AI Anomaly Detector
Foresee problems before they occur with an Azure AI anomaly detection service. Easily embed time-series anomaly detection capabilities into your apps to help users identify problems quickly. AI Anomaly Detector ingests time-series data of all types and selects the best anomaly detection algorithm for your data to ensure high accuracy. Detect spikes, dips, deviations from cyclic patterns, and trend changes through both univariate and multivariate APIs. Customize the service to detect any level of anomaly. Deploy the anomaly detection service where you need it, in the cloud or at the intelligent edge. A powerful inference engine assesses your time-series dataset and automatically selects the right anomaly detection algorithm to maximize accuracy for your scenario. Automatic detection eliminates the need for labeled training data to help you save time and stay focused on fixing problems as soon as they surface.
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