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No Viewmont, have not heard anything.....loving this volume.
AIKI
It looks like as if insiders have good info about a drug getting close to be presented or something like that? Today's pre-market move to $1.70 rise was telling.
BDEZ, I haven't found any new news the last few days, have you?
Yes it does Viewmont, AIKI is on a roll!
Chart looks happy! http://schrts.co/sCbwekas
* * $AIKI Video Chart 07-20-2020 * *
Link to Video - click here to watch the technical chart video
AIKI $3 Target price tomorrow hopefully pre-market tomorrow
AIKI has turned into BUY at Barchart.
Alkido Pharma Inc. (AIKI)
1.1800 +0.1500 (+14.56%) 15:59 ET [NASDAQ]
1.1200 x 2000 1.2200 x 100 REALTIME by (Cboe BZX)
BARCHART OPINION for Mon, Jul 20th, 2020Tutorial Alerts Watch Help
Overall Average:
24% BUY
Overall Average Signal calculated from all 13 indicators. Signal Strength is a long-term measurement of the historical strength of the Signal, while Signal Direction is a short-term (3-Day) measurement of the movement of the Signal.
https://www.barchart.com/stocks/quotes/AIKI/opinion
This is the latest news I'm seeing out there. Insiders must know something. IMO.
AIkido Pharma Inc. Announces Key Progress in Computational Approaches to Identify Virus Treatments, Including Coronavirus.
https://finance.yahoo.com/news/aikido-pharma-inc-announces-key-173100000.html
I need AIKI to keep rising for a many, many months non stop!
It's going to start moving up quick $1.70 Target price
I'm ready for liftoff $1.70 in premarket WOW!
Is there any news?, why are we going up
chart has looked better -
https://emerginggrowth.com/stat-news-adam-feuerstein-uses-up-his-nine-lives-on-cytodyn-otcqb-cydy/
Fools....fools and more fools and you wonder where do they get brains from...PIGS????
Lol.....money!
Money!!! Money!!! That's the deal...or the art of the deal with idiots learning the selling game!!! You BLINDFOLD THEM!!!!!
I have fidelity
If you have Etrade you can buy now
WeedTrader420 is a mastermind Trader WOOHOO$$$ AIKI to SPCE
Looks good buying at the open please don’t go to high lol
Oh my God we're going to make so much fcking money holy moly Batman lmao woohooooooooooo
AIKI...$1.28 in the P/M after hitting $1.70...:party:
[6:36 AM]
georgie1807/18/2020
AIKI...$1.03...Chart turning Very Bullish on the Consolidation Channel Breakout as the Bollinger Bands get stretched...adding on this Bullish Chart...
AIKI...tested the Break/Hold of the 200ma 3 times and failed...Monday it will Break/Hold the 200ma as well as flip the Psar to a Bullish Buy position on the Breakout...imo...we shall see... :party:
Something's happening with AIKI. Going up!
Went to 1.70, now coming back up for more!
AIKI @ $1.67 pre market. NICE!
AIKI trading at $1.22 early pre-market!
AIKI 1.20 AH
$AIKI THANK YOU , GOOD REPORE'
RE;
AIKI AIkido Pharma, Inc.
Shares Outstanding 34,920,200
Float 32,952,167
Insider Ownership 5.64%
Insitutional Ownership 18.10%
AIKI AIkido Pharma, Inc.
Shares Outstanding 34,920,200
Float 32,952,167
Insider Ownership 5.64%
Insitutional Ownership 18.10%
Just a reminder! AIkido Pharma Inc. Announces Key Progress in Computational Approaches to Identify Virus Treatments, Including Coronavirus
Research identified human protein complex that is important for viral replication
NEW YORK, July 9, 2020 /PRNewswire/ -- AIkido Pharma Inc. (Nasdaq: AIKI) ("AIkido" or the "Company") today provided an update on its effort to identify compounds to potentially address the COVID-19 pandemic. As previously announced, on April 13, 2020, AIkido executed a Master License Agreement with the University of Maryland, Baltimore ("UMB"), covering certain antiviral compounds discovered by UMB.
Recently, the researchers at UMB, including Matthew Frieman, PhD, Associate Professor of Microbiology and Immunology at the University of Maryland School of Medicine (UMSOM), Alexander MacKerell, PhD, Professor of Pharmaceutical Sciences at the University of Maryland School of Pharmacy, and Stuart Weston, PhD, Postdoctoral Fellow at UMSOM, have identified a human protein complex (called the SKI complex) that is important for replication of several viruses including Influenza, COVID-19, SARS1, MERS, SARS2, Ebola and Marburg. Using a computer modeling approach called SILCS from SilcsBio LLC, chemical compounds were identified that are predicted to bind to a pocket on a human protein in this complex. These compounds were tested for their ability to block replication of the Influenza virus in human cells, from which several active compounds were found. These compounds were then tested against the other viruses and found to block replication of these as well. Utilizing the information gleaned from this initial research and the power of the SILCS technology combined with machine learning tools, the researchers are currently identifying compounds with chemical structures similar to the active compounds and testing them to find ones that work better at blocking virus replication.
"This is encouraging progress, demonstrating the importance of machine learning to accelerate pharmaceutical research," commented Anthony Hayes, CEO of AIkido. "Legacy processes, involving manually testing potentially thousands of compounds, are slower and potentially more expensive. Utilizing a combination of a physics-based approach and machine learning, our partners are able to significantly narrow the range of potential compounds to test, accelerating efforts and significantly reducing costs. The ultimate goal is to create a new compound that blocks replication of a wide variety of viruses in humans that will be an effective drug for the treatment of known viral infections as well as those that may arise in the future."
otcmarkets.com/stock/AIKI/news/story?e&id=1641643
Let's do this! https://www.tradingview.com/symbols/NASDAQ-AIKI/technicals/
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Kucera Paper Lipid Nucleoside Conjugates for the Treatment of Cancer
Kucers & Pardee Paper Improving Nucleoside Analogs via Lipid Conjugation
The Phospholipid Gemcitabine Conjugate, KPC34, is a Novel Treatment for Leukemia
Short-term Toxicity Study of DHA-dFdC
AIkido Pharma Inc. seeks to enhance shareholder value not only through exceptional business performance and practices,
but also through responsible and effective communication with its shareholders. The latest company information relevant to the individual
and institutional investor includes stock price and history, upcoming events and presentations and financial documents.
AIkido Pharma Inc. is traded on the Nasdaq under the ticker symbol AIKI.
AIkido Pharma Inc. is a biotechnology development company with a diverse portfolio of early stage small-molecule anti-cancer therapeutics.
The Spherix platform contains patented technology from leading universities and researchers and we seek to develop
our innovative drugs through strong partnership with world renowned institutions, such as The University of Texas and Wake Forest University.
Our diverse pipeline of therapeutics includes therapies for pancreatic cancer, acute myeloid leukemia (AML), and acute lymphoblastic leukemia (ALL).
Our pancreatic treatment has shown positive preclinical results for inhibiting pancreatic tumor growth in clinically relevant transgenic mouse models.
The drug has also demonstrated the potential to overcome tumor cell resistance to current chemotherapeutic drugs.
Our AML drug is a next generation targeted therapeutic designed to overcome multiple resistance mechanisms observed with the current standard of care.
In addition, we are constantly seeking to grow our pipe to treat unmet medical needs in oncology.
https://ir.aikidopharma.com/stock-information/
$AIKI Spherix Incorporated, a biotechnology company,focuses on developing small-molecule anti-cancer therapeutics.
Its pipeline of therapeutics includes therapies for pancreatic cancer, acute myeloid leukemia, and acute lymphoblastic leukemia.
The company's platform consists of patented technology from leading universities and researchers and in the process of developing an
innovative therapeutic drug platform through partnerships with world renowned educational institutions, including The University of Texas at
Austin and Wake Forest University.
It has a scientific research agreement with The University of Texas Southwestern Medical Center to use machine learning to find genetic
markers in people that indicate an increased risk of developing pancreatic cancer.
Spherix Incorporated was founded in 1967 and is based in New York, New York.
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