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Time | Volume | AIAI |
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09:32 ET | 500 | 0.55 |
09:50 ET | 3500 | 0.58 |
09:51 ET | 500 | 0.58 |
10:22 ET | 1500 | 0.6 |
10:24 ET | 1000 | 0.6 |
10:27 ET | 7000 | 0.62 |
10:31 ET | 7500 | 0.62 |
10:42 ET | 1000 | 0.61 |
10:44 ET | 10000 | 0.61 |
10:45 ET | 1000 | 0.62 |
10:49 ET | 35000 | 0.63 |
11:21 ET | 5000 | 0.65 |
11:23 ET | 1500 | 0.68 |
11:25 ET | 1000 | 0.69 |
11:30 ET | 2500 | 0.7 |
11:32 ET | 3000 | 0.68 |
11:34 ET | 500 | 0.68 |
11:36 ET | 5500 | 0.7 |
11:43 ET | 2000 | 0.73 |
11:48 ET | 3500 | 0.73 |
11:50 ET | 10000 | 0.73 |
11:52 ET | 14500 | 0.7 |
11:56 ET | 2000 | 0.69 |
11:59 ET | 1000 | 0.67 |
12:15 ET | 10500 | 0.65 |
12:17 ET | 500 | 0.65 |
12:24 ET | 500 | 0.66 |
12:28 ET | 5000 | 0.65 |
12:44 ET | 3000 | 0.65 |
01:33 ET | 12500 | 0.65 |
01:36 ET | 10000 | 0.65 |
01:38 ET | 5000 | 0.65 |
01:40 ET | 4000 | 0.65 |
01:44 ET | 2000 | 0.65 |
01:51 ET | 14000 | 0.65 |
01:54 ET | 5000 | 0.65 |
02:27 ET | 35000 | 0.67 |
02:32 ET | 4000 | 0.66 |
02:48 ET | 1500 | 0.67 |
02:54 ET | 1000 | 0.65 |
03:21 ET | 6000 | 0.67 |
03:26 ET | 7000 | 0.68 |
03:28 ET | 1500 | 0.68 |
03:30 ET | 1000 | 0.68 |
03:37 ET | 24500 | 0.7 |
03:51 ET | 2000 | 0.7 |
03:53 ET | 3000 | 0.68 |
Company sortable | Market Cap sortable | P/E Ratio (TTM) sortable | EPS Growth (5yr) sortable |
---|---|---|---|
NetraMark Holdings Inc | 48.1M | -3.4x | --- |
Railtown AI Technologies Inc | 55.0M | -9.0x | --- |
ImagineAR Inc | 29.2M | -9.8x | --- |
Scope Technologies Corp | 68.4M | -13.5x | --- |
Resaas Services Inc | 20.8M | -15.1x | --- |
Acceleware Ltd | 17.8M | -47.3x | --- |
NetraMark Holdings Inc. is a Canada-based company, which is focused on the development of Generative Artificial Intelligence (Gen AI)/Machine Learning (ML) solutions targeted at the pharmaceutical industry. The Company’s product offering uses a novel topology-based algorithm that has the ability to parse patient data sets into subsets of people that are strongly related according to several variables simultaneously. This allows the Company to use a variety of ML methods, depending on the character and size of the data, to transform the data into powerfully intelligent data that activates traditional AI/ML methods. The result is that it can work with smaller datasets and accurately segment diseases into different types, as well as accurately classify patients for sensitivity to drugs and/or efficacy of treatment. The typical molecular data used is RNASeq, microarray, single nucleotide polymorphism (SNP) and methylation.
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Market Cap | $48.1M |
---|---|
Revenue (TTM) | $345.0K |
Shares Outstanding | 70.7M |
NetraMark Holdings Inc does not pay a dividend. | |
Beta | 1.37 |
EPS | $-0.20 |
Book Value | $0.02 |
P/E Ratio | -3.4x |
Price/Sales (TTM) | 139.3 |
Price/Cash Flow (TTM) | --- |
Operating Margin | -3,253.19% |
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