PDFS Share Price

Open 22.37 Change Price %
High 22.96 1 Day 0.49 2.19
Low 22.15 1 Week 0.86 3.91
Close 22.86 1 Month 2.81 14.01
Volume 114429 1 Year 11.47 100.70
52 Week High 24.35
52 Week Low 8.70
PDFS Important Levels
Resistance 2 23.61
Resistance 1 23.30
Pivot 22.66
Support 1 22.42
Support 2 22.11
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PDF Solutions, Inc. (NASDAQ: PDFS)

PDFS Technical Analysis 5
As on 8th Dec 2016 PDFS Share Price closed @ 22.86 and we RECOMMEND Strong Buy for LONG-TERM with Stoploss of 15.04 & Strong Buy for SHORT-TERM with Stoploss of 19.86 we also expect STOCK to react on Following IMPORTANT LEVELS.
PDFS Target for December
1st Target up-side 27.04
2nd Target up-side 29.48
3rd Target up-side 31.93
1st Target down-side 20.06
2nd Target down-side 17.62
3rd Target down-side 15.17
PDFS Other Details
Segment EQ
Market Capital 416962112.00
Sector Technology
Industry Technical & System Software
Offical website http://www.pdf.com
PDFS Address
PDFS
333 West San Carlos Street
Suite 1000
San Jose, CA 95110
United States
Phone: 408-280-7900
Fax: 408-280-7915
PDFS Latest News
Interactive Technical Analysis Chart PDF Solutions, Inc. ( PDFS NASDAQ USA )
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PDFS Business Profile
PDF Solutions, Inc. is a provider of infrastructure technologies and services to the integrated circuit (IC) design and manufacturing, improve time to market, and improve profitability by addressing design and manufacturing interactions from product design to initial process ramps to mature manufacturing operations. The Company's technologies and services focuses the entire process life cycle, which includes the time from the design of an IC through volume manufacturing of that IC. The Company's solutions include IC designs, test chips, an electrical wafer test system, methodologies, and professional services. The Company has developed solutions for yield simulation, analysis, loss detection, and improvement. Its CV infrastructure (CVi) enables customers to characterize the manufacturing process, and establish fail-rate information needed to calibrate manufacturing yield models, prioritize yield improvement activities and speed-up process learning-cycles.