AI catalyst scanning
The platform scans documents, news items, and financial filings to find market-moving events and surface trade ideas tied to those catalysts.
LevelFields is an AI stock alert platform scanning market catalysts across thousands of stocks and surfacing event-driven trade ideas with historical price reaction context.
LevelFields is an AI stock alert platform built around market catalysts: events such as leadership changes, lawsuits, government actions, regulatory moves, buybacks, and other filings or news items that may affect a stock’s price. It scans millions of events across thousands of companies, then shows historical price reactions so users can decide how to trade around those catalysts.
The product is aimed at self-directed investors, options traders, swing traders, and event-driven traders who want a structured way to find trade ideas and monitor stocks they already follow. The site positions the workflow as event selection, reaction review, and alerting, with watchlists and backtested scenarios helping users narrow down entry and exit timing.
The platform scans documents, news items, and financial filings to find market-moving events and surface trade ideas tied to those catalysts.
The home page says LevelFields tracks 24 event types across about 6,300 stocks, and the about page says it screens millions of signals related to over 6,000 stocks.
Users can review how stocks reacted after specific event types and use that history to think about buy and sell points.
The product lets users set custom event alerts so opportunities are delivered based on the events and profit targets they want to follow.
The platform supports watchlists for monitoring companies you already own and for tracking future events tied to those names.
The site says Level 2 members receive analyst-called alerts, trade positioning for future events, and SMS alerts.
Use the platform to identify event-driven setups around catalysts such as leadership changes, regulatory actions, activist investments, or lawsuits, then compare the event’s historical stock impact before acting.
Track names in a portfolio or watchlist so you can see when a relevant event appears and decide whether the event changes your view of the position.
Review price reaction patterns after a specific catalyst to help frame possible entry and exit points for a swing trade or event-driven options setup.
Use the guided Level 2 path if you want analyst-called alerts, trade positioning for future events, and text notifications rather than handling every setup on your own.
Search across a broad stock universe for companies that may be affected by upcoming or recent events, including in bull or bear markets.
LevelFields uses AI to analyze market catalysts from documents, news items, and financial filings, then surfaces alerts for events that historically moved stocks. The site presents it as a tool for self-directed investors who want event-based trade ideas rather than broad market commentary.
The site says Level 1 includes access to all scenarios, all data, customizable alerts, and trends, while Level 2 adds analyst-called alerts, investment and trade positioning for future events, more support, unlimited customized alerts, personal training, and SMS alerts. The FAQ text also notes that Level 2 includes more guidance for newer traders.
The pricing page was not available, but the site’s how-it-works page shows a Level 1 membership offer with annual pricing listed at $25 per month. The home page also includes a pricing FAQ that compares monthly and annual billing, which suggests there are paid subscription plans.
The platform is described as useful for options traders, swing traders, long-term investors, and self-directed investors who want to monitor event catalysts and price reactions. It also highlights watchlists for tracking companies you own and upcoming events.
The site emphasizes event catalysts, historical price reactions, and watchlists, but it does not provide confirmed integration details for brokers, export tools, or third-party data connections in the sources reviewed.
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