Splunk (SPLK) bounces off lower rail of channel and its 50-day

Software firm Splunk Inc. (Nasdaq: SPLK) has rallied sharply after hitting a low in November. The stock dropped to $89.55 on November 21 before rallying all the way up to $143.70 on March 1. The stock fell over the last couple of weeks, but appears to have found a couple of layers of support.

The stock has formed a trend channel over the last four months and the lower rail is in the $120 area. The 50-day moving average is just above that at $123.23. These two levels seem to have given the stock the support it needed to reverse the downward trend. It hit the lower rail on Friday before rallying back to close right on the 50-day. It rallied again on Monday and looks like it could rally even more in the coming weeks.

The daily stochastic readings had reached oversold territory and the 10-day RSI was close. The stochastic readings made a bullish crossover on March 11 and the RSI had reversed as well.

In addition to the stochastics crossover and the dual layers of support, the Tickeron AI Trend Prediction tool generated a bullish signal on March 8. The prediction calls for a rally of at least 4% in the coming month and it came with a confidence level of 88%. Previous predictions on Splunk have been accurate 75% of the time.

Splunk’s fundamentals are very impressive. The company has seen average annual earnings growth of 110% over the last three years while sales have grown at a rate of 38% per year. The company saw earnings grow by 41% in its most recent quarterly report while sales were up by 35%.

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Harry Richardson|Expert

Harry Richardson — Algorithmic Trader & Strategy Developer Harry is an algorithmic trader specializing in impulse and breakout trading strategies across cryptocurrency and equity markets. With more than 10 years of experience in developing automated trading systems, he focuses on building structured algorithms designed to capture momentum while maintaining strict risk control. His approach combines quantitative analysis, real-market execution, and continuous performance monitoring. Vitalii prioritizes risk management, drawdown control, and strategy stability over short-term optimization, ensuring algorithms are adaptable to changing market conditions. He has developed and tested hundreds of automated strategies, working extensively with live trading environments, forward testing, and portfolio-level algorithm management. His work centers on transforming trading ideas into fully operational, scalable automated systems.