A coin had a high VORTECS Score, why did it go down?

The VORTECS score should be thought of more as a health check, rather than a crystal ball. Consider typical technical analysis - what you are looking for is periods of price change and momentum that have historically led to positive or negative conditions for a coin. But with technical analysis you are limited to just what your naked eye can see - and the only variable that you are effectively looking at is price.

The VORTECS score is like technical analysis cubed. Where you are looking at multiple different variables now (namely sentiment, tweet volume, price volatility, and trading volume) and comparing those to every situation in the past for a coin. If you look at the image I have attached you can see how the algorithm looks at variables in 4 dimensions, rather than 1. It is entirely computer driven, so it is capable of parsing through millions of historical data points each day, comparing whats going on now with each coin to prior conditions. When the VORTECS score is high it suggests that current market conditions - across all of those variables - match conditions in the past where the asset has seen appreciation in 12-84 hours AND that the behavior has been relatively consistent.

History doesn't repeat, but it often rhymes and what the VORTECS score was created to do was provide you with an additional set of eyes on the market and a basis for comparing what is going on now to the past.

Our goal is to be extremely transparent with how the score is performing over time - we are actively running 24 trading strategies with different combinations of buying/selling on the score. Since we live launched at the beginning of January, 22/24 strategies have outperformed Bitcoin and an equally weighted basket of the top 100 altcoins.

That said, there of course will be times when the VORTECS score is high and the asset does not perform positively. In fact, all of the strategies have had bad days. But history does often rhyme, and that is what the performance of the strategies have shown in aggregate thus far.