Tuesday, November 14, 2017 10:15 PM ET
Insiders Make Significant Stock Buys in Lexicon Pharmaceuticals (LXRX) Shares Extending the 90 day Trend
There were substantial insider purchases of Lexicon Pharmaceuticals shares today, as shown in filings with the SEC as two insiders — Jeffrey L Wade, Officer, and Public Equities, L.P. Invus, 10% Owner and Director — bought 577,946 shares in the company having a net market value of approximately $5,573,127. There have been 2 insiders with buy/sell transactions in the past 90 days prior to this filing. All of these trades have been buys resulting in the purchase of 31,000 company shares. Adding the most recent activity to this 90-day history indicates insider trades have seen net purchases of 608,946 shares and have averaged 152,237 shares per transaction over this time period.
Insiders at Lexicon Pharmaceuticals have a higher number of buy/sell transactions than the 271-peer company average over the last 90-day period. The Bio Therapeutic Drugs peer group saw 326 buy/sell trades during this period for an average of 1.2 transactions per company. The number of shares per buy/sell trade for Lexicon Pharmaceuticals insiders was also higher. Within the peer group there were 31,979,959 shares purchased and 12,334,515 shares sold with company insiders purchasing 98,227 shares on average.
Significant insider buying and selling activity has been determined by eliminating all trading activity reported to the SEC that involves awards, options, exercise of derivative securities, company buy-backs, taxes, gifts, shares acquired via inheritance and tenders or exchange offers in data used in composing and writing this story.
Today’s Insider Activity
* Jeffrey L Wade, Officer, bought 2,000 shares
* Public Equities, L.P. Invus, 10% Owner and Director, bought 575,946 shares
Using proprietary Natural Language Generation (NLG) technology, UpTick evaluates corporate insider filings reported to the SEC and creates real-time news and analysis to report the most significant insider transactions based on transaction type, size and historical trends.
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