Most investors have come across the ‘weight of evidence’ approach to investing which looks at prices and various indicators to help identify potential trading opportunities. Let’s say that as a momentum investor you look for opportunities by studying the price relationship to various moving averages, the positive or negative slope of the moving average, the RSI value, and the rate of change. You could save the indicators to a Page Layout and apply it to hundreds of charts and manually plough through them to visualise those that look good – or bad – whilst jotting the tickers down as you go, but that takes time – not to mention a toll on your eyes!
Let me introduce you to Ahrvo. A social trading platform that make investment and trading activity more easy.
Ahrvo is a blockchain based Artificial Intelligence (AI) powered peer-to-peer equity exchange (broker). It provides daily rankings for over 8000 stocks and ETFs. It also has proprietary multifactor ranking system exploits and capitalizes on patterns found in the historical and projected stock market and company-specific data in order to consistency find the best stocks.
In this article, I will specifically give you a short review of Ahrvo's proprietary multifactor ranking system.
Ahrvo Multifactor Ranking System
Ahrvo's proprietary multifactor ranking system aims to create smart equity scores and price targets to streamline the security selection and portfolio construction process.
Most trading sites that track systems performance will show you the best performing systems near the top. But usually this does not take into account how feasible this performance is in reality. For example, when a system opens more and more trades without first closing the previous ones, your account needs to have a lot of available margin (funds) to be able to open the new positions as they come.
But in reality, your account might be unable to open many positions at the same time due to margin requirements.
Ahrvo proprietary multifactor ranking system takes many parameters into consideration, like:
- Quality,
- Value,
- Growth, and
- Momentum
in order to provide you with an easy way of viewing systems that are good performers and filter out feasible trading strategies that emphasize on providing solid and stable trading results, have normal trading cycles and avoid over-exposing your invested capital.
Please note that the Ahrvo ranking system results are completely Artificial Intelligence (AI) computer-generated. Systems are sorted without regard to human viewpoints or strategy preferences. Thus, user can always choose from a wide variety of systems that can match most styles of trading.
As a result, the combination of imperfect human thinking and AI machine calculation provide something more valuable than either could provide on their own. As Paul Tudor Jones said, “No man is better than a machine, and no machine is better than a man with a machine.”
The synthesis approach is based on the realization that both machines and humans have shortcomings. Humans are too emotion-driven and susceptible cognitive biases, while machines lack an understanding of human thinking.
Conclusion
Ahrvo platform has gone a step further towards accomplishing dreams of many individuals and retail investors who for the longest time wanted to take part in Stock exchange Investment business but has been turned down due to lack of information on how and where to start. Ahrvo, through its Multifactor Ranking System, has created a suitable, safe, and effective atmosphere where investors can visit and gather information on the best stock equity to invest in.
Official links for more details,
Website: https://ahrvo.com
ICO Website: https://ahrvo.io
Whitepaper: http://ahrvo.io/public/frontend/documents/Ahrvo-Whitepaper.pdf
Bitcointalk: https://bitcointalk.org/index.php?topic=5125369
Twitter: https://twitter.com/AhrvoApp
Telegram: https://t.me/Ahrvo
Facebook: https://www.facebook.com/AhrvoInvestingApp
Youtube: https://www.youtube.com/channel/UCZUcThIjvzst2XxtwXj9FHw
Medium: https://medium.com/@ahrvo
Author's Bitcointalk Profile: Tpq01349
ETH Address: 0xA73fA2565C18218AC6510c8CD3B220F5794f3B84
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