97 karma · joined February 26, 2014
Choose your poison, however, living long enough to fight for a chance to change, defeat or restructure that poison, in whatever form it comes, is what I choose. Choice B) does not give you that option unless it's your understanding that:
C) There is another option
D) Choice A) will someday positively impact the reanimation of those who've selected Choice B).
Choose wisely.
With statistical inference and probability, a system can provide a number of answers to questions. A crowdsourcing component can be used to rate the answers the system provides thereby allowing the system to learn via feedback loops.
Apply this to Life Sciences, molecular biology, genomics/proteomics and we may have a system intelligent enough to produce new hypothesis in the area of life extension research or a system intelligent enough to combine two pieces of knowledge to come up with something new, a discovery or series of discoveries.
I have some other ideas too, look me up at biomimic@gmail.com if you want to collaborate on these.
https://www.youtube.com/watch?v=V48M5j-6zdE
and
https://www.youtube.com/watch?v=jbYgza4NNk8
To name some of the top roadblocks:
- Cellular garbage collection
- Inner-workings of Mitochondria and cell death/apoptosis at the wrong time.
- DNA repair genes
- Telomerase production/use
Analyzing genomic pathways associated to these is key. Understanding why the expression of genes varies or decreases/increases at the wrong time is also key.
Being able to use Cogntive computing/biomicry/AI/Machine Learning etc to analyze the hidden connections and relationships between phytochemicals, genes, proteins, pathways and environment is the next frontier.
We're working on it and could certainly use additional crowdsourcing approaches.
What I'd like to do would be to create a system that processes 5 years worth of historical data, gathers all symbols that have had spikes up or down by 10-75%, have good volume and liquidity and are affected by either news or an earnings report. I could then auto-construct the baskets that surround each issue and calculate returns on the long side or short side.
I like this system because it executes on 4 critical levels:
1. Works in a good market or in a bad market due to short and long positioning that can be taken whereas most trading systems (and Technical Analysis) only really work in good markets.
2. You don't have to be late in terms of buying into (or shorting) the direct issue. You buy into or short the indirect issues, which enable protection and diversification.
3. Nobody really is doing this today.
4. It's based on information arbitrage and hidden connections, not numbers.
Relying on vector similarity as opposed to direct keyword matches is an approach that's taken. Utilizing statistical and probabilistic approaches as opposed to "words and rules" remains important.
See: http://cymetica.com/cymetica_about.html
and the following: http://genopharmix.com/biomimetic-cognition/in_silico_cognit...
The corpus is currently just limited Reuters public company profiles & descriptions but I plan to include SEC filings as well.
Traders, investors, hedge funds can engage is quick information arbitrage with it. For example, a stock runs up 20% in minute, you insert a keyword or the symbol related to the stock that ran up, you then get other stocks (a targeted basket) that have sympathetic, symbiotic and parasitic relationships before any research analyst can uncover the connections - rising tide lifts all boats or a lowering tide lowers them. Ref: "Contagious Speculation and a Cure for Cancer: A Non-Event that Made Stock Prices Soar" -http://www0.gsb.columbia.edu/whoswho/getpub.cfm?pub=1555
The system can include tiered consumer/trader/investor subscriptions, licensing and net profit sharing with selected hedge funds. SeekingAlpha, StockTwits, Yahoo Finance etc as revenue partners. We're raising a bit of funding in the meantime while we also use it as a trading tool ourselves.
It's a prototype that's being moved into production this week or next.
Don't forget to read that paper above by Gur Huberman. Good starting point.
More slopppy+---adsf language for you...:::
How Brokers Can Avoid A Market-Maker's Tricks http://www.investopedia.com/articles/financialcareers/06/mma... lets incorporate this too.
I also agree that TA and back testing applied to long positioning workw great in bull market!
Historical data will never be able to truly simulate manipulation or sympathetic, symbiotic or parasitic relationships. Ever back-test a trading system that simulates a Market Maker letting low block go under the bid or dialing down the sensitivity of the bid vs. the ask? Speaking from experience.
That's why I'm developing an algorithmic trading system based on sympathetic, symbiotic and parasitic hidden connections.
Also Ref: Contagious Speculation and a Cure for Cancer: A Non-Event that Made Stock Prices Soar - http://www0.gsb.columbia.edu/whoswho/getpub.cfm?pub=1555
Location: San Francisco, CA Remote: Yes
Technologies: Data Science, Artificial Intelligence, Cognitive Computing, Machine Learning, Predictive Analytics, Partnership & Business Development, Sales & Marketing, Software Engineering, Algorithm Optimization and development. Working on data classification and pattern matching algorithms. Initial work involves an advanced context-controllable content summarization systems including - http://genopharmix.com/TuataraSum/index-156.html - http://genopharmix.com and http://www.genopharmix.com/TuataraSum/medium/medium_summary_.... - additional applications in Finance, Trading/Investing, Recommendation Systems and related.
Resume/CV: http://genopharmix.com/TuataraSum/index-156.html
Email: genopharmix@gmail.com
Remote: Yes
Willing to relocate: Yes
Technologies: Data Science, Artificial Intelligence, Cognitive Computing, Machine Learning, Predictive Analytics, Partnership & Business Development, Sales & Marketing, Software Engineering, Algorithm Optimization and development. Working on data classification and pattern matching algorithms. Initial work involves an advanced context-controllable content summarization systems including - http://genopharmix.com/TuataraSum/index-156.html http://genopharmix.com and http://www.genopharmix.com/TuataraSum/medium/medium_summary_... - additional applications in Finance, Trading/Investing, Recommendation Systems and related.
Resume/CV: http://genopharmix.com/TuataraSum/index-156.html
Email: genopharmix@gmail.com
Openings include:
- Partnership & Business Development - Sales & Marketing - Software Engineering - Algorithm Optimization
FTE, Contractors, Consultants, Interns, Remote and any with English or any foreign language of any kind.
We are working on data classification and pattern matching algorithms.
Our initial work involves an advanced context-controllable content summarization system:
http://genopharmix.com/TuataraSum/index-155.html
Contact: genopharmix@gmail.com
Thank You!
This system utilizes vector space and is based on a development at Lawrence Berkeley National Laboratory:
https://www.kaggle.com/c/word2vec-nlp-tutorial/forums/t/1234...
http://genopharmix.com/biomimetic-cognition/in_silico_cognit...
It's designed to mimic the process of human cognition aka AI.
It's fairly sophisticated as shown by its results.