Not all AI stocks are the same. Many companies sell “concepts,” while something like Palantir is more like selling the ability to turn data into decisions. In my view, its value isn’t about how powerful a single model is, but whether it can connect fragmented data, workflows, and business actions—so enterprises and institutions truly dare to use it and can actually implement it. I’ll give this direction extra credit, because what matters after AI isn’t demo effects; it’s deployment, collaboration, and sustained usage.
I’m also more bullish for another reason: the stickiness in this space is usually fairly high. Once a system gets embedded in everyday decision-making, switching costs tend to rise. The market isn’t as forgiving toward software stocks as it used to be. People are more willing to value companies that can get into core processes, rather than just names that tell stories. Palantir is repeatedly brought up in trading—suggesting it at least stands within this narrative and isn’t on the fringe.
The catalysts are also easy to understand. Companies continue to build AI capabilities, and governments and major institutions keep pushing data initiatives—so long as these two lines don’t break, someone will keep watching these platform-style companies. The real variable is that market expectations for it are already relatively high. If new orders, rollout pace, or customer expansion don’t keep up, the stock’s price fluctuations can be larger than those of traditional software. So this one is suitable for “finding pullbacks within a strong trend,” not for chasing too aggressively when sentiment is at its hottest.
You can even see a bit of the flavor in the tape. The perpetual current price is $185.76. In the past 24h it’s up only +0.65%, with a high/low range of $188.33 / $184.39, indicating today isn’t one of those runaway surges. Trading volume is 20.09M USDT, with open interest at 53,724 contracts. The funding rate is still +0.0000%, so longs aren’t crowded. I wouldn’t add a big position from here. If I don’t already have a position, I’d wait for a pullback to catch support, or wait for it to build volume and reclaim the intraday high before adding. If I’m wrong, I cut—no “dating” the stock.
$PLTR #US stocks
If you lose money, don’t cue me. If you make money, buy me a cup of coffee.
I’m also more bullish for another reason: the stickiness in this space is usually fairly high. Once a system gets embedded in everyday decision-making, switching costs tend to rise. The market isn’t as forgiving toward software stocks as it used to be. People are more willing to value companies that can get into core processes, rather than just names that tell stories. Palantir is repeatedly brought up in trading—suggesting it at least stands within this narrative and isn’t on the fringe.
The catalysts are also easy to understand. Companies continue to build AI capabilities, and governments and major institutions keep pushing data initiatives—so long as these two lines don’t break, someone will keep watching these platform-style companies. The real variable is that market expectations for it are already relatively high. If new orders, rollout pace, or customer expansion don’t keep up, the stock’s price fluctuations can be larger than those of traditional software. So this one is suitable for “finding pullbacks within a strong trend,” not for chasing too aggressively when sentiment is at its hottest.
You can even see a bit of the flavor in the tape. The perpetual current price is $185.76. In the past 24h it’s up only +0.65%, with a high/low range of $188.33 / $184.39, indicating today isn’t one of those runaway surges. Trading volume is 20.09M USDT, with open interest at 53,724 contracts. The funding rate is still +0.0000%, so longs aren’t crowded. I wouldn’t add a big position from here. If I don’t already have a position, I’d wait for a pullback to catch support, or wait for it to build volume and reclaim the intraday high before adding. If I’m wrong, I cut—no “dating” the stock.
$PLTR #US stocks
If you lose money, don’t cue me. If you make money, buy me a cup of coffee.