In early 2008 I came to the conclusion that I needed to become my own financial advisor, after being advised to invest in UK property just before the peak. This was indeed a daunting prospect for a research scientist with no financial training whatsoever! I therefore began to use my expertise in computer modelling of biological systems to discover what made the stock market and investment landscape tick. I soon concluded that this system was a balancing game of human fear and greed. I also quickly became aware of the mantras 'It is impossible to accurately predict turning points in the stock market.' and 'Stock market historical behaviour and performance is no indicator of turning points or future direction'. These mantras have been declared for so long that the mainstream has accepted them as gospel that 'There is no way of accurately and consistently predicting financial inflection points', let alone accurately identifying the best sectors to buy and sell at their turning points. Being a research scientist, I refused to believe these mantras and proceeded to develop a set of unique algorithms and indicators using freely-available stock market data. The stock market prediction model of Market Predictor collates stock market data into 18 manageable indicators and 2 collated indicators of exactly where the stock market is now and where it is going to move in the near future. The resultant model has accurately predicted the bottoms and tops of the market since the bottom on 17 Aug 07 to the present. The model has also successfully identified false bottoms and tops in the market. I now feel compelled to share some of my findings with the mainstream so we are not deceived and fleeced by the world's 'too big to fail' banks.