Fundemental Analysis

All data was provided by FINANCIAL MODELING PREP

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FINANCIAL MODELING PREP is stock API | historical data API | financial statements API



Dataframe Work

Below you will find excerpts from our codes. After pulling data from API, we did data cleaning and data manipulation to prepare dataframes for Machine Learning. This included creating a loop of Quarterly Reports' published statistics. Using these ratios we created a Buy/Sell/Hold determination based on 3% growth or shrink and inserted it into the dataframe.

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Machine Learning

We created a Machine Learning Program to learn from the aforementioned data in order to predict out to the next quarter. We ran accuracy tests and while the accuracy was low, the machine was learning as we tightened our margins and calrified more data inputs. Below you will find our Accuracy Tests.

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Confusion Matrix and Final Analysis

We created a Confusioin Matrix to show our Final Determinations and evaluate the outcomes.

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