Tickers Data is a toolkit designed for data-driven traders seeking curated financial data, advanced analytics, and high-speed backtesting capabilities. The platform addresses the need for precision in trading strategy development by providing meticulously curated, point-in-time, and split-adjusted data that is free from survivorship bias. It offers full coverage of the US market, including delisted stocks, and ensures clean handling of corporate actions such as splits, dividends, spinoffs, rebrandings, and mergers.
The analytics suite enables users to filter the entire US market in milliseconds using over 100 technical and fundamental features. Traders can create custom events or setups with complex conditional logic, scan thousands of tickers over decades of historical data, and visualize return distributions, win rates, and alpha generation for any custom strategy. The platform supports deep market-wide scanning and provides tools for generating insights from historical precedents.
Tickers Data includes an institutional-grade backtesting engine that simulates thousands of trades on curated data within seconds. The backtesting system is event-driven, handling limit orders, market impact, and realistic fills, and supports advanced optimizations such as Monte Carlo simulations, grid search, and walk-forward validation. Users can iterate rapidly with sub-second execution and have the option to conduct no-code backtesting, eliminating the need for programming expertise.
The research component allows for in-depth exploration of stocks and ETFs, offering access to comprehensive company profiles, historical price data, and advanced interactive charting tools. Users can obtain real-time and historical quotes, day ranges, and performance metrics, as well as review decades of clean, point-in-time daily and intraday data.
Features listed as coming soon include an AI-powered research assistant that will enable natural language queries, setup generation, contextual guidance, and market insights. Real-time alerts and monitoring are also planned, with instant notifications via Discord, Slack, or custom webhooks when user-defined setups are triggered. The platform is delivered as an app interface, and infrastructure is provided as a service for real-time monitoring.
tickers is a Frameworks & SDKs product. It focuses on accessing and integrating financial data and SEC filings programmatically. It is built as an open-source project for developers and analysts working with financial data APIs. tickers is open source under the MIT license. tickers is available on the web and the command line.
tickersdata builds and maintains tickers, and the product first shipped in 2026. PulseGate's similarity index finds few close equivalents — tickers occupies a relatively distinct niche. Key capabilities include API integration, financial data access, and EDGAR filings. It exposes integrations via a public API.
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