Results of an incomplete prediction method

I worked with a group of scientists who spend our spare time on quantitative finance researches. With the approaches in quantum entanglement and quantum field theories, significant progressions were made in 2014, and we have being forward testing it for more than one year. Here are a list of pros and cons of our current predication method:

Pro:
{C}1. The hit-rate of our predication is more than 70%.

Cons:
{C}1. The predication is only acquirable during specific market conditions. Thus in approximately one-third of trading days, we are unable to reach any predications.
{C}2. It is hard to make more than one predication per day due to limitations.
{C}3. The current method only predicts the direction of market, but not yet the volatility or daily-range.

We are going to post our daily predication and historical predictions. For example:

EU direction: short
0:00 am 10 am EST
Jan 04

EU means EURUSD; short means the price of EU at 10am is lower than the price at 0:00 am. If the price at 10 am is actually lower, the prediction is correct. Otherwise, the prediction is wrong.

NOTICE: The information provided by us should be strictly kept for academic only, NON-commercial use. We are not recommending any investment ideas, trading systems, or broker-dealers. Past accuracy does not guarantee future success. The publication of predication may negatively affect the accuracy.

Results of an incomplete prediction method