Bleeding Edge Probability Analysis
In our previous post about the danger of pattern
recognition, "Don't be Fooled by Pattern Recognition", we discussed some of the underlying problems associated with trying to discern probabilities
by visually examining chart patterns. Pattern recognition is a subjective and very difficult
investment/trading discipline to scale successfully. There are
many reasons for this and we drew parallels between eye witness testimony
compared to DNA evidence.
So, how does the Trade Ideas version of DNA evidence work, and why should you trust our probability analysis?
So, how does the Trade Ideas version of DNA evidence work, and why should you trust our probability analysis?
Machine Learning
The answer is "Machine Learning" and it is quickly
becoming a buzz word in trading and investing as more people experience success from applying this approach versus the traditional
discretionary style that is employed by the majority of traders.
So what is Machine Learning? This link will give you the complete description from Wikipedia http://en.wikipedia.org/wiki/Machine_learning but the highlight is as follows - Machine learning, a branch of artificial intelligence, is a scientific discipline concerned with the design and development of algorithms that allow computers to evolve behaviors based on empirical data, such as from a database. Imagine that while you look at chart and see what you visualize as a support break, while keeping your eyes on SPY and GLD, our machine is looking at thousands of underlying variables that are happening at the same time and comparing them to past variables and assessing the predictive value of each to see when the highest odds of the support break actually line up. This is our version of DNA evidence.
| Probability Assesment |
So what is Machine Learning? This link will give you the complete description from Wikipedia http://en.wikipedia.org/wiki/Machine_learning but the highlight is as follows - Machine learning, a branch of artificial intelligence, is a scientific discipline concerned with the design and development of algorithms that allow computers to evolve behaviors based on empirical data, such as from a database. Imagine that while you look at chart and see what you visualize as a support break, while keeping your eyes on SPY and GLD, our machine is looking at thousands of underlying variables that are happening at the same time and comparing them to past variables and assessing the predictive value of each to see when the highest odds of the support break actually line up. This is our version of DNA evidence.
Big Data, Big Ideas
The real key separating Trade Ideas technology from other backtesting software is our proprietary database. We built our database from scratch so you cannot buy this information even if you wanted to buy it. Our technology keeps track of every metric on every stock. This allows us to build algorithms that scan for predictive value in a way other software products simply can't replicate because it would require them to have the same database. The database is the differentiating factor.
Applying this technology to your trading is a process and we
are looking forward to you getting the confidence of having science on your
side of the trade.
To download Trade Ideas Pro and subscribe or try the Free Demo, visit the Trade Ideas Pro download page.
Follow us on Twitter:
@TradeIdeas
@TradeIdeas1
Like us on Facebook: TradeIdeasPro
To download Trade Ideas Pro and subscribe or try the Free Demo, visit the Trade Ideas Pro download page.
Follow us on Twitter:
@TradeIdeas
@TradeIdeas1
Like us on Facebook: TradeIdeasPro