WDLF

Social Life Network (PK) Stock Price

0.00015
0.00 (0.0%)
0.00015
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Company Name Stock Ticker Symbol Market Type
Social Life Network Inc (PK) WDLF OTCMarkets Common Stock
  Price Change Change Percent Stock Price Last Traded
0.00 0.0% 0.00015 15:27:35
Close Price Low Price High Price Open Price Previous Close
0.00015 0.0001 0.0002 0.0001 0.00015
Bid Price Ask Price Spread News
0.0001 0.0002 0.00 - -
Stock Trades Traded Volume VWAP Dollar Volume Average Volume 52 Week Range
28 58,800,237 $ 0.000148 $ 8,720 86,282,623 0.000001 - 0.13
Last Trade Time Type Quantity Stock Price Currency
15:29:55 4,000 $ 0.00015 USD

Social Life Network (PK) Financials

Market Cap Shares in Issue Float Revenue Profit/Loss EPS PE Ratio
$ 517.64k 3.45B 990.21M $ - $ - - -
Short Interest Dividends Per Share Dividend Yield Ex-Div Date Insider B/S Insider % Owned
123.67k $ - 0.00% - -

more financials information »

Social Life Network (PK) News

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Historical WDLF Price Data

Period † Open High Low VWAP Avg. Daily Vol Change %
1 Week0.000150.00020.00010.0001520,244,2010.000.0%
1 Month0.00020.00020.00010.000147723,462,656-0.00005-25.0%
3 Months0.00030.00030.0000010.00014687,719,267-0.00015-50.0%
6 Months0.00030.00050.0000010.000184459,749,738-0.00015-50.0%
1 Year0.07220.130.0000010.000374639,731,511-0.07205-99.79%
3 Years0.12210.330.0000010.000430216,311,817-0.12195-99.88%
5 Years0.00011.000.0000010.000428412,492,7220.0000550.0%

Social Life Network (PK) Description

We are an artificial intelligence (AI) powered social network and Ecommerce technology company, that develops custom niche networks to be used to connect global business professionals and consumers. Our platform leverages blockchain technology to increase speed, security and accuracy of our niche Social Network Marketplaces. Therefore, we built an AI solution into our platform that has answered the question: How can the connection of unique individuals in a niche social network of consumers and business professionals, be improved with AI in order to better match them together? To solve this using artificial intelligence, we used a polynomial (an expression consisting of variables and coefficients), that we created using a mathematical formula that fits data points together using a similar formula to Curve Fitting.


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