Social Life Network (PK) Stock Price

0.00165 (14.1%)


52 Week Range


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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
0.00165 14.1% 0.01335 16:31:04
Open Price Low Price High Price Close Price Prev Close
0.0106 0.0106 0.0135 0.01335 0.0117
Bid Price Ask Price Spread News
0.0131 0.0138 0.0007 - -
Trades Volume VWAP Dollar Volume Avg Volume 52 Week Range
1,106 65,928,584 $ 0.012248 $ 807,480 - 0.000001 - 0.044
Last Trade Time Type Quantity Stock Price Currency
16:01:59 average 346,852 $ 0.012931 USD

Social Life Network (PK) Financials

Market Cap Shares in Issue Float Revenue Profit/Loss EPS PE Ratio
$ 102.47M 7.68B 990.21M $ - $ - - -
Short Interest Dividends Per Share Dividend Yield Ex-Div Date Insider B/S Insider % Owned
13.80k $ - - - -

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 Week0.01240.01350.01060.011682467,556,1530.000957.66%
1 Month0.01250.02160.00930.0140165125,654,8140.000856.8%
3 Months0.02970.0310.00930.0184027134,682,166-0.01635-55.05%
6 Months0.0000010.0440.0000010.0077669384,790,7430.013351,334,900.0%
1 Year0.00020.0440.0000010.006718221,488,4420.013156,575.0%
3 Years0.120.250.0000010.006527692,362,543-0.10665-88.88%
5 Years0.251.000.0000010.006532864,214,401-0.23665-94.66%

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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