The stock list is calculated during night with expectation of gain based on the open price of next market date. Depending on different strategies, some people would sell stocks on the same day as a day trader, and some would hold it for a few days. Because the algorithm and model are developed and trained for short periods only, we do not recommend holding for more than five days, though some stocks could be strong for the long term.

The model and algorithms are designed for short term gains. So, if you want to win from frequent trading in days, this system provides the best resource for you. For the long-term investors, many stocks in this system list can be risky, so we only recommend them to use this list as a reference to know more opportunities, and they must apply their own analysis to make decisions.

Multiple technologies are behind the system. The system applies a bot program to monitor market news from various important websites in real time, multiple machine leaning algorithms to analyze the historical, recent and the current day performance of tons of stocks, and multiple mathematical programming models and algorithms to select stocks with the best expectation.

The list will come out by 5AM US Eastern Time every day. We understand that it might not be convenient for some users. However, we believe that the quantity is more important. During the night, the system gathers the complete market information and runs the large-scale computing program to finish recommendation.

Because the list is generated normally around 5AM each day, stocks are recommended for the current market date. For stocks generated during weekends and holidays, the current date just means the next market date.

All percentage values are culculated based on Open Price. This is different from traditional stock market systems, which caclulate gain and loss based on the previous close price. ExpectFi provides the list in the early morning, so there is no way to buy "yesterday". The opportunity and close columns compare the high and close prices with the open price seperately.

It is possible that the system does not provide any recommendation someday. From the historical statistics, the results can cover 75% market days by Group A and 95% market days with extension results in Group B. The free sample list does not include data from Group B. Though ExpectFi works for short term win, it is not an aggressive system. If the algorithm cannot find a portfolio with sufficient expectation, it will not provide any suggestion.

Group A includes results only from the core algorithm while Group B is an extension with more stocks from an adjusted algorithm. Group A is less risky but has fewer stockers.

The free list includes one stock randomly picked from Group A every day.

At what time or what price to buy is a difficult question for stock trading. To make it more deterministic, ExpectFi system is developed and trained particularly for the scenario of buying at the open price each day. Thus, to use the tool, it is recommended to buy at the open price of market day that the stocks are recommended.

This is a very important question. We never predict the win/loss of any single stock. As a portfolio, a group of stock can minimize the risk of loss expectation. In statistics, any random subsets from the list and full sets performed same in guaranteeing the bottom line. If choose a subset, you may miss the stocks with significant gains, but if take the full list, sometimes it would be challenging to keep eyes on all of them in the holding period, thus difficult to catch the right selling time for each individual.