Utilize your financial knowledge, give your answer or opinion to the input question or subject . Answer format is not limited.

How often do typical investors really lose money?
I'll just add this: In the best hedge funds and proprietary trading funds, stock selection is approached very scientifically in order to minimize losses/maximize gains. Researchers think of a trading idea and carefully test it to see which methods of stock selection work and how well, and finally they combine them. Every day researchers update their models based on the past performance of each indicator.  All this is just too much work to be done manually. Firms use machine learning methods to understand markets. They try to figure out what is normal, what did not happen correctly at a specific time, what will happen in future. For instance, they use deep learning networks to look at unlabeled data, and figure out what is normal and what is not. These networks can analyze an unstructured haystack of noise, and separate out the signal. This is very relevant to finance and markets because finding the patterns and anomalies in market data has been the bread and butter of traders for decades. Deep learning networks give us applications like feature learning. By 'features,' I'm referring to certain attributes in data that indicate an event. By anticipating them, we can help predict future price movements. New technology is allowing us to break new ground in managing risk, to be a-typical and manage risk in ever-improving ways. It's the responsibility of every trader, whether working for themselves or others, to take advantage of this technology to improve the collective investing experience. I care very deeply about this. I have many close friends, in the finance world and without, who have lost large amounts of money to poor trade tools and lack of transparency.