Find out how AI-powered event analysis helps traders spot profitable stock and options trades faster than traditional methods.
Sectors & Industries
April 18, 2025
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For years, retail investors have faced the same challenge: reacting too late to market-moving events. By the time a stock is up 100%, it’s already too late. But what if you could catch those moves early—before the news spreads and the market catches on?
That’s where AI-driven event analytics comes in. It helps you spot patterns that lead to big price swings—without needing to decode financial reports or follow the market all day.
According to Andrew Einhorn, founder of LevelFields, the goal was simple: make investing decisions as easy as checking a weather app.
“We wanted to make it as easy as looking at a weather forecast,” Andrew explained. “If it’s going to rain all day, bring an umbrella. If the market is signaling a panic event, the investor should know before reacting emotionally.”
This idea became the foundation for LevelFields: a platform that simplifies the chaos of financial markets by using AI to detect profitable patterns based on real events—like dividend hikes, CEO changes, contract awards, and more.
The 2020 COVID market crash was a turning point. As panic selling took over, seasoned Wall Street investors bought stocks at massive discounts—leaving average investors on the losing end.
“Friends and family were calling, terrified about their savings,” Andrew said. “It made us realize how critical it is to give people something solid to rely on in times of uncertainty.”
That insight launched a mission: build an AI system that monitors events in real time and signals actionable opportunities—so investors can act rationally even in high-volatility moments.
While rare events can drive big moves, LevelFields discovered that stock-moving events happen daily. Some of these events have led to stocks jumping 10%, 20%, even 300% in a single day.
The key is identifying the pattern before the news saturates the market.
“The goal isn’t to predict the next Amazon,” Einhorn emphasized. “It’s to identify what could move tomorrow, next week, or next month—based on historical patterns and real triggers.”
By tracking repeatable signals—like executive resignations, dividend increases, or major contract wins—AI models can help surface trades with proven win rates.
One standout case is Dick’s Sporting Goods (DKS). The market narrative claimed that brick-and-mortar retail was dead—yet Dick’s kept raising its dividend, even by triple digits.
“While the headlines were negative, the company was consistently returning more cash to shareholders,” Einhorn said.
LevelFields' system recognized this as a bullish signal. As the company beat earnings expectations and analysts upgraded their targets, the stock rose over 150%—proving the data right and the sentiment wrong.
The platform’s AI doesn’t aim to predict long-term winners. Instead, it focuses on identifying short- to mid-term opportunities—the next move, not the next unicorn.
Why? Because markets are constantly influenced by external shocks: elections, regulations, competitor shifts, and global conflicts. Trying to forecast five years out is speculation. But catching a pattern that has a proven short-term impact is a repeatable edge.
Rather than chasing hype or reacting late, LevelFields filters through daily noise to surface trades with data-backed triggers. This reduces emotional decision-making and creates room for confident, strategy-based investing.
By combining AI, pattern recognition, and real-time event monitoring, the platform empowers traders to act on insights before the market fully reacts.
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Yes. AI can analyze historical price movements, volatility patterns, and news events to identify high-probability setups for options trading. Platforms like LevelFields use event-driven AI models to surface trade ideas before big price swings, making it easier to time entries and exits in the options market.
Absolutely. AI helps traders identify patterns, monitor real-time events, and filter out market noise. It reduces emotional bias and provides data-backed alerts that improve decision-making, especially for swing and event-based trades.
Use AI platforms to monitor events like dividend increases, CEO departures, contract wins, or earnings surprises—events that historically move stocks. Tools like LevelFields provide predictive analytics so you can act on patterns before the rest of the market does.
AI analysis refers to the use of machine learning and pattern recognition to analyze large volumes of market data—earnings reports, news, technical trends—and identify trading signals that may lead to short-term or mid-term price moves.
AI doesn’t predict the entire market direction perfectly—but it can detect repeatable patterns and reactions to certain events. For example, if a stock historically rises after announcing a dividend hike, AI can alert you to that setup before it happens again.
The best AI tools depend on your strategy. For event-driven trading, LevelFields stands out by focusing on real-time triggers with proven impact. For technical chart analysis, platforms like Trade Ideas or TrendSpider may offer deeper visual tools. For long-term investors, Kavout and Zacks AI Rank are often recommended.
Join LevelFields now to be the first to know about events that affect stock prices and uncover unique investment opportunities. Choose from events, view price reactions, and set event alerts with our AI-powered platform. Don't miss out on daily opportunities from 6,300 companies monitored 24/7. Act on facts, not opinions, and let LevelFields help you become a better trader.
AI scans for events proven to impact stock prices, so you don't have to.
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