Summarize and humanize this content to 2000 words in 6 paragraphs in English The Schwab Network recently discussed an “example” options trade involving Netflix (NFLX). According to the network, the trade is “neutral to bullish” and takes advantage of the stock’s expected high volatility in the wake of its earnings. The company is expected to deliver its first-quarter results after the market closes today. Top 20 Entertainment Brands in the World Photo by Thibault Penin on Unsplash Rick Ducat, Schwab’s Lead Market Technician, examined the technicals of NFLX stock. A Potential Options Trade Traders can sell the $900 put that expires on April 25 and buy the $875 put that expires on the same day, said Tom White, Netflix’s Senior Options Contributor. Traders who follow the “neutral to bullish strategy” would collect net premiums of $5 and have an $895 break-even point, White reported. Ducat’s Technical Analysis NFLX has pushed above its 21-day and 63-day moving averages, both of which are “around $934,” Ducat said. Moreover, its Relative Strength Index has broken above 50, which separates high-momentum stocks from low-momentum ones, he reported. “The next area to watch” for NFLX is “around $1,000,” Ducat said, adding that retaining the latter level could pave the way for it to reach $1,064, its all-time high. On the downside, key levels include $950, $934, and $825, with the latter point representing a “double bottom,” Ducat stated. While we acknowledge the potential of NFLX, our conviction lies in the belief that AI stocks hold greater promise for delivering higher returns, and doing so within a shorter timeframe. There is an AI stock that went up since the beginning of 2025, while popular AI stocks lost around 25%. If you are looking for an AI stock that is more promising than NFLX but that trades at less than 5 times its earnings, check out our report about this cheapest AI stock. READ NEXT: 20 Best AI Stocks To Buy Now and 30 Best Stocks to Buy Now According to Billionaires Disclosure: None. This article is originally published at Insider Monkey.