MBA from UNLV. Intrepid stock follower for over 20 years. Have constructed several mathematical models for following stocks. Primary model: evaluate highs and lows of most or all applicable stock stats by dates identifying unique stocks and most desirable cycles for further investigation or investment. Actual desired mathematics: curve fitting to the discovered cycle, identify maxes, mins, and inflection points by taking the mathematical derivative of the discovered function. Project these functions and points forward or into the future through a range of realistic possibilities generating several most likely realistic future scenarios. If the confidence level is high on the data, at least 90%, preferably 95% or higher, making the investment is probably a good idea.