Python Trading Algorithm on Quantopian

Hi all, I have an idea I would like to develop on quantopian. Looking to hire anyone with python experience, developing a strategies on quantopian and above all someone I can trust. In simple terms this is how it's laid out: Start with an empty portfolio. Define black swan as +- 1.5% on daily S&P returns. Use the Q1500 as the basket for stocks. In the occurrence of a positive black swan event go long in the highest beta equities (top 5%) and short the lowest beta equities (bottom 5%). In the occurrence of a negative black swan event short highest beta equities (top 5%) and long lowest beta equities (bottom 5%). If two consecutive black swan events occur rebalance the portfolio and if it's a switch will have to exit the positions and take profit/loss. I already have pieces of code you could implement to calculate the beta in a faster way. I look forward to hearing from you. Peter