1 00:00:02,520 --> 00:00:08,800 Speaker 1: Bloomberg Audio Studios, podcasts, Radio News, The. 2 00:00:08,880 --> 00:00:13,160 Speaker 2: Stock Movers podcast, your roundup of companies making moves in 3 00:00:13,200 --> 00:00:16,480 Speaker 2: the stock market, harnessing the power of Bloomberg Data. 4 00:00:17,480 --> 00:00:20,439 Speaker 3: Let's here some individual stock movers are today for that 5 00:00:20,440 --> 00:00:23,840 Speaker 3: would go to Bloomberg News. Christine, what are you looking at. 6 00:00:23,680 --> 00:00:26,079 Speaker 1: The well, Paul, let's take a look at Synopsis, shall 7 00:00:26,120 --> 00:00:30,080 Speaker 1: we that sticker SNPs currently up three percent at the moment, 8 00:00:30,120 --> 00:00:32,680 Speaker 1: so very some of those opening gays, but still one 9 00:00:32,760 --> 00:00:36,200 Speaker 1: of the big performers today on the SP five hundred. 10 00:00:36,280 --> 00:00:39,160 Speaker 1: And that is because it is benefiting from the latest 11 00:00:39,200 --> 00:00:42,440 Speaker 1: news that the US is lifting export license requirements for 12 00:00:42,560 --> 00:00:45,880 Speaker 1: chip design software sales in China. And you know, Synopsis 13 00:00:46,040 --> 00:00:49,040 Speaker 1: it provides design technology for a lot of chip makers, 14 00:00:49,200 --> 00:00:52,199 Speaker 1: so very much benefiting from that news, and that of 15 00:00:52,200 --> 00:00:54,960 Speaker 1: course clear the way for them to resume services in China. 16 00:00:55,160 --> 00:00:58,960 Speaker 1: Bloomberg Intelligence analysts Naraj Patel and Maria Beltran are pointing 17 00:00:58,960 --> 00:01:03,320 Speaker 1: out that the company is likely to resume it's electronic 18 00:01:03,360 --> 00:01:07,720 Speaker 1: design automation sales to China, and that's very important because 19 00:01:07,800 --> 00:01:11,640 Speaker 1: Chinese customers represent fourteen percent of salesforce Synopsis, so big 20 00:01:11,680 --> 00:01:12,200 Speaker 1: news for them. 21 00:01:12,680 --> 00:01:15,240 Speaker 3: Yeah, that is goodness. All right, so get some maybe 22 00:01:15,240 --> 00:01:17,840 Speaker 3: some falling of some of the trade tensions between the 23 00:01:17,920 --> 00:01:21,560 Speaker 3: US and China. How about Meta, which I refer to 24 00:01:21,720 --> 00:01:22,960 Speaker 3: as Facebook. 25 00:01:23,040 --> 00:01:25,320 Speaker 1: Oh yes, we all know, we all know it should 26 00:01:25,319 --> 00:01:28,520 Speaker 1: be Facebook, right but yes, yeah, I don't know. Yeah, 27 00:01:28,560 --> 00:01:30,840 Speaker 1: well we'll stick with that, but yes Meta techer me 28 00:01:30,920 --> 00:01:33,680 Speaker 1: Eta also enjoying an update to day Parry. Some of 29 00:01:33,720 --> 00:01:35,919 Speaker 1: those opening games just up nine tenth of one percent 30 00:01:36,319 --> 00:01:38,320 Speaker 1: at the moment, and the latest on that is that 31 00:01:38,360 --> 00:01:41,760 Speaker 1: we did get their rating at a needam raised to 32 00:01:41,880 --> 00:01:43,520 Speaker 1: hold from underperformed previously. 33 00:01:44,360 --> 00:01:46,800 Speaker 3: Martin is one of my former colleagues. That's right. 34 00:01:46,880 --> 00:01:49,640 Speaker 1: Yeah, so there you go, and they're looking at it 35 00:01:49,640 --> 00:01:53,960 Speaker 1: more positively because of channel checks driving upside to the 36 00:01:53,960 --> 00:01:58,400 Speaker 1: company's estimates and also strong labor productivity metrics. So apparently 37 00:01:58,560 --> 00:02:01,480 Speaker 1: labor productivity is driven by a model that is globally scaled, 38 00:02:01,520 --> 00:02:05,080 Speaker 1: doesn't pay for content, software only and free rides and 39 00:02:05,120 --> 00:02:09,240 Speaker 1: mobile devices, so that has closed the loop attribution for advertisers. 40 00:02:09,240 --> 00:02:11,000 Speaker 1: So getting a bit of a boost there and the 41 00:02:11,120 --> 00:02:11,919 Speaker 1: shares this morning. 42 00:02:12,120 --> 00:02:15,200 Speaker 3: Yeah, Laura Martin, she we work together Credits fist first Boston. 43 00:02:15,760 --> 00:02:18,200 Speaker 3: She thinks like on a totally different plane, than I do. 44 00:02:18,680 --> 00:02:20,520 Speaker 3: She comes in with the ideas. I mean, like, where 45 00:02:20,520 --> 00:02:22,560 Speaker 3: did that come from? But they're really good and they 46 00:02:22,680 --> 00:02:26,080 Speaker 3: really thought out and it's different from what you see 47 00:02:26,080 --> 00:02:26,560 Speaker 3: on the street. 48 00:02:26,560 --> 00:02:29,000 Speaker 1: All the best, Yes, shado out to Lauren. 49 00:02:29,240 --> 00:02:32,080 Speaker 3: Yes, actually she's very good. I won more for Isabel 50 00:02:32,160 --> 00:02:32,280 Speaker 3: and me. 51 00:02:32,400 --> 00:02:34,400 Speaker 1: What do you g that's right, Data Dog. Let's take 52 00:02:34,400 --> 00:02:37,960 Speaker 1: a look at that tick her ddog. So shares are 53 00:02:38,160 --> 00:02:41,919 Speaker 1: gaining this morning, up eleven percent now, so really accelerating there. 54 00:02:41,919 --> 00:02:45,680 Speaker 1: So this company, it's cloud monitoring and analytics, that's their specialty. 55 00:02:46,000 --> 00:02:49,200 Speaker 1: And it hit the highest interday level since February earlier 56 00:02:49,240 --> 00:02:51,920 Speaker 1: today because it was added to the S and S 57 00:02:51,919 --> 00:02:53,800 Speaker 1: and P five hundred and that's going to be effective 58 00:02:54,520 --> 00:02:56,720 Speaker 1: at the opening of trade on the ninth of July. 59 00:02:56,800 --> 00:02:59,400 Speaker 1: So it's replacing Juniper Networks on the S and P 60 00:02:59,440 --> 00:03:03,280 Speaker 1: five hundred and Schooshabank analysts saying that its entry into 61 00:03:03,280 --> 00:03:05,959 Speaker 1: the index really makes it a quote must own stock. 62 00:03:06,120 --> 00:03:08,000 Speaker 1: And of course we know that it has a partnership 63 00:03:08,040 --> 00:03:12,360 Speaker 1: with OpenAI. That is a massive net positive according to Scoshabank, 64 00:03:12,440 --> 00:03:16,000 Speaker 1: and it just affirms that Data Dog's differentiation in this 65 00:03:16,160 --> 00:03:19,760 Speaker 1: space is really notable versus its other peers. 66 00:03:20,600 --> 00:03:24,760 Speaker 2: The Stock Movers podcast from Bloomberg Radio. Check back with 67 00:03:24,840 --> 00:03:27,600 Speaker 2: us throughout the day for the latest roundup of companies 68 00:03:27,639 --> 00:03:30,680 Speaker 2: making news on Wall Street and for the latest market 69 00:03:30,720 --> 00:03:35,040 Speaker 2: moving headlines. Listen to Bloomberg Radio Live, catch us on YouTube, 70 00:03:35,120 --> 00:03:38,360 Speaker 2: Bloomberg dot com, and on Applecarplay and Android Auto with 71 00:03:38,440 --> 00:03:39,920 Speaker 2: the Bloomberg Business app.