See how CkNN Algo performs:Collective2.
The CkNN Algo system cleverly finds 'hidden' price action patterns that correlate to _some_ time in the past. It then simply makes a forecast based upon what happened in that past time period.
I've been at this, on and off, for many years. But finally after a year and a half of non-stop effort, I've created, from scratch, an extremely potent, machine learning algorithm.
CkNN Algo is highly adaptive and does short-ranged internal back-testing to continually adapt to market price action.
CkNN Algo also employs an ensemble of 28 variations of the original algo to further adapt to the market. The 28 algos all compete; and the best algo determines the forecast. Ties are broken by the second best algo(s), and so on. I reveal to subscribers how the algos performed to show how confident the system is in its forecast.
CkNN Algo takes about two hours (or more) to generate a simple decision: Go/Stay Long NUGT, or Go/Stay Long DUST.
CkNN Algo is trading NUGT/DUST because their volatility translates into increased profits. Even so, it can be trained to generate signals for most any instrument.
Early subscribers are rewarded by being grandfathered into their initial price when the subscription price rises. The subscription price will gradually increase over time at random intervals as CkNN Algo continues to prove itself with extraordinary performance while also continuing to pass the test of time.
LATEST ALGO IMPROVEMENT: MAY 05, 2016