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You guys probably want to know what my algorithm looks like. Here are some screenshots..
INPUT
This is the page where all the data needed is inputted into the model. Algorithm textbooks call these "independent variables". Though many are not independent, but in this case, they technically are.

CALCULATIONS
This is where the financial calculations are made. Algorithm textbooks call these "dependent variables".

ALGORITHM RATIOS
This is where the financial calculations are compared to a benchmark average (Dow Jones Industrial Average). More dependent variables.

ALGORITHM TALLY
Each algorithm ratio is assigned a 1 or 0 based on whether that ratio beats the market average. 1 for a market-beating ratio, 0 for a market-losing ratio.

OUTPUTS
This is where the results of the entire algorithm model are displayed. It recommends a percentage grade, rating, recommendation, and even an approximate valuation based on the gamma metric. Once I have the best possible companies with the best possible valuations, I then do a qualitative analysis. This model is strictly quantitative, but it still forms the basis of all my stock picks.

Now, you may be wondering, how do I estimate intrinsic values. In other words, how do I calculate the "true value" of the company. Here is my intrinsic value model. It's pretty large, so I use two screenshots so you can see most of it...


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