There are a number of reasons people use LevelFields AI:
1) Save time
News comes from many different sources, and they do not cover every stock. LevelFields help avoid the need to sit on a news site hitting refresh every 3 seconds, sifting through tons of reports/news, and missing a large number of companies because as you are reading about one another is reporting/announcing.
With our alerts, you need not monitor the news. Just set high fidelity event alerts based on dozens of criteria available and get exactly the alert you want that matches your investing style and strategy. For example, if you want to find a large cap stock growing revenues by 15% in the industrials sector that has stock options on it and just raised its dividend, you can set up that alert.
You cannot do this with news feeds or Google.
A lot of the events are buried inside reports and not headlines. We run Google news searches against our results all the time. It's not as comprehensive or accurate. And the large news outlets all charge subscription fees as well (e.g. CNBC, WSJ, MarketWatch) and have a bias towards covering the largest companies.
2) Get an edge on the rest of the market
If an event is covered, most days, there are multiple news outlets reporting the same story many hours apart and days apart. This continues driving price action and also can relay old information again and again.
90% of our alerts come within 40mins of the company announcement, and come from the company not the news. But it's important to remember there are many reactions to the same event as not everyone trades at the same time.
Large institutions are not able to move quickly and it can take them hours, days or even weeks to react to an event because they are deploying a lot more capital at once and do not want to move the share price on themselves. Many wealth managers are also not setup to react quickly, as they spend most of their time in meetings.
60% of the market is drive by algorithms, many of them technical. When an event occurs, this sets off a chain of robo-trades. So getting the event before this happens and knowing how long to hold provides a huge advantage.
3) Save money
Most news outlets charge subscriptions. To get comprehensive coverage to the degree we provide, you'd need many different news subscriptions to cover all of the stocks we do.
4) Make money
The events we track affect stocks in different ways. Some affect stocks short term, others mid-term, and others longer term. Likewise, you can use the system to identify events that catalyze stocks longer term or to identify when companies are benefiting from
macroeconomic tailwinds.
5) Know how to react
Seeing the event isn't enough -we need to know the direction it will impact the stock, the length of time the impact will occur, and the average impact it has. This provides more advanced decision-making to enable better investing or trading.
How is LevelFields Different from a New Aggregator?
Events --> the events on the LevelFields platform have been correlated to share price moves. So, unlike a news feed, we already know the event types on the platform will impact stocks, typically. So the AI narrows down the thousands of daily news and opinion pieces into a tangible, actionable list of investment opportunities each day.
Some events are filtered even further for ease of use. For instance, the activists we track are only activists with successful track records. We leave out the ones who are not effective.
Filters --> Unlike traditional news outlets or Google news, you can filter the events for just the type of companies you want. If you only like high growth tech companies, clicking a few filter settings sets up a AI search agent to read through all the news looking for just that type of event with those attributes. This does not exist elsewhere.
Analytics --> Each event type has analysis around the typical move on the scenario page, as well as a view of how share prices are affected in the days after the event (the table view). This enables an understanding of what typically happens to stock prices and how to trade the stock.
It also provides the win rate --> the percent of the time the stock trades with expected direction (up/down). In the screenshot below, the summary shows the event results in an average move of 15.9% in 10 days time nearly 81% of the time. News feeds don't have this data. No one else does.
How do you use LevelFields data?
What the scenario stats are telling you here is that you can buy and hold the stock when this event type happens and likely make a 16% return, because that is the typical stock price move. This is an average price move of past events just like this one - the actual price move could be more or less.
It's important to note that similar companies have more similar reactions to events. A small, profitless biotech with no revenue trades differently than a large cap, high revenue growth tech company. LevelFields allows you to use the filters on the scenario pages to group similar companies together by their financials, sector, industry to better understand how events affect certain stocks. This is effectively a stock backtester.
Backtesting --> With a few clicks, you can see how stocks with certain attributes are affected differently by the same events. For example, small companies doing layoffs are bullish for stocks while unprofitable companies experience declines when they issue layoffs.
--> If you go to an individual scenario page and start clicking filters and changing the date range, the metrics will change. This shows how prices reacted in the past to the attributes you select. It's essentially an instant backtester. Note the difference below between the filters selected and the metrics displayed.
What Does the AI in LevelFields AI Actually Do?
In short, it's a speed reader that reads 30,000 documents per minute searching for events proven to move share prices. It does not search by single keywords like Google news. It searches by context using advanced linguistics to eliminate all the many false positives produced by traditional boolean operators.
Practically speaking, this means you won't end up with results for football start Ezekiel Elliott when searching for Elliott Investment Management, or find nature articles about blue birds when searching for Blue Bird Biotech stock.
Once in the system, the AI then has to map real-time data from the stock exchanges to the stock and event to create an array of historical price movements to analyze so that we know how an event affects a typical stock.
How are the results better than news outlets of aggregators?
LevelFields offers unprecedented scale in monitoring all stocks, not just the high volume ones.
A news outlet does not have the staff resources to monitor 6,000 stocks all day, every day. Nor do they have an economic reason to do so. Most of the revenues from news outlets come from ads. The more views a news outlet gets, the more ad revenue they generate. As a result, they tend to focus on the stocks most people already own and know about e.g. Tesla, Microsoft, Google, Nvidia, etc. In doing this, and trying to find the next scandalous headline about Elon Musk to draw in viewers, they ignore most of the market and all the amazing opportunities it holds for those willing to look beyond the obvious Mag 7 or 10.
You might see some news sites and aggregators have similar events as those covered by LevelFields. But we offer 10-100 times the number of events and opportunities given the scale of our monitoring and precision of our AI search agents.
