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MSAIW MultiSensor AI Holdings Inc

0.055
0.005 (10.00%)
May 03 2024 - Closed
Delayed by 15 minutes

Period:

Draw Mode:

Volume 30,032
Bid Price 0.025
Ask Price 0.10
News -
Share Name Share Symbol Market Stock Type
MultiSensor AI Holdings Inc MSAIW NASDAQ Equity Warrant
  Price Change Price Change % Share Price Last Trade
0.005 10.00% 0.055 15:02:00
Open Price Low Price High Price Close Price Previous Close
0.05 0.044 0.0665 0.055 0.05
Trades Shares Traded VWAP Financial Volume Average Volume
54 30,032  0.0506462  1,521 -
Last Trade Type Quantity Price Currency
15:00:00 78  0.055 USD

MultiSensor AI Holdings Inc Financials

Market Cap Shares in Issue Float Revenue Profit/Loss EPS PE Ratio
 657.63k - - - -
Short Interest Dividends Per Share Dividend Yield Ex-Div Date Insider B/S Insider % Owned
- - - -

more financials information »

News MultiSensor AI

Real-Time news about MultiSensor AI Holdings Inc (NASDAQ): 0 recent articles
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MSAIW Historical

Period † Open High Low VWAP Avg. Daily Vol Change %
1 Week0.000.000.000.0000.000.00%
1 Month0.000.000.000.0000.000.00%
3 Months0.000.000.000.0000.000.00%
6 Months0.000.000.000.0000.000.00%
1 Year0.000.000.000.0000.000.00%
3 Years0.000.000.000.0000.000.00%
5 Years0.000.000.000.0000.000.00%

Infrared Cameras Holdings, Inc. is a provider of intelligent thermal imaging platforms. The Company¿s thermal cameras and infrared technology are used to protect critical assets across a range of industries. The Company designs and develops infrared and sensing hardware, as well as proprietary subscription software used to analyze thermal data points. The Company's products are sold across the industrial sector, with key sub-verticals that include distribution and logistics, oil and gas, manufacturing, and utilities. Commercial applications for the Company¿s technology include detection of methane leaks in wells and pipelines across the oil and gas industry and the monitoring of conveyer belt equipment in warehouses. The Company¿s solutions are used to monitor the performance of crucial assets and optimize predictive maintenance strategies to reduce unplanned downtime and increase operator efficiency.

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