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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% | - |
| Open Price | Low Price | High Price | Close Price | Previous Close |
|---|---|---|---|---|
| Last Trade Time | Type | Quantity | Stock Price | Currency |
|---|---|---|---|---|
| - | 0 | USD |
Social Life Network (PK) Financials
| Market Cap | Shares in Issue | Float | Revenue | Profit/Loss | EPS | PE Ratio |
|---|---|---|---|---|---|---|
| $ 690.18k | 3.45B | 990.21M | $ - | $ - | - | - |
| Short Interest | Dividends Per Share | Dividend Yield | Ex-Div Date | Insider B/S | Insider % Owned |
|---|---|---|---|---|---|
| 123.67k | $ - | 0.00% | - | - |
Social Life Network (PK) News
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Historical WDLF Price Data
| Period † | Open | High | Low | VWAP | Avg. Daily Vol | Change | % |
|---|---|---|---|---|---|---|---|
| 1 Week | 0.000001 | 0.0002 | 0.000001 | 0.00006 | 30,551,451 | 0.00 | 0.0% |
| 1 Month | 0.0001 | 0.0002 | 0.000001 | 0.000062 | 26,567,803 | 0.00 | 0.0% |
| 3 Months | 0.0001 | 0.0002 | 0.000001 | 0.000117 | 25,915,960 | 0.00 | 0.0% |
| 6 Months | 0.0001 | 0.0005 | 0.000001 | 0.0001684 | 60,969,190 | 0.00 | 0.0% |
| 1 Year | 0.08695 | 0.0948 | 0.000001 | 0.0003417 | 42,671,055 | 0.00 | 0.0% |
| 3 Years | 0.143 | 0.25 | 0.000001 | 0.000396 | 17,486,532 | 0.00 | 0.0% |
| 5 Years | 0.0001 | 1.00 | 0.000001 | 0.0003985 | 13,174,334 | 0.00 | 0.0% |
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. |
