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Update README.md
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subjects/ai/backtesting-sp500/README.md

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- Visualize and analyze the average price for companies over time or compare the price consistency across different companies within the dataset. Save the plot as an image.
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- Describe at least 5 outliers ('ticker', 'date', 'price'). Put them in `outliers.txt` file with the 3 fields on the folder `results`.
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_Note: create functions that generate the plots and save them in the `images` directory. Add a parameter `plot` with a default value `False` which doesn't return the plot. This will be useful for the correction to let people run your code without overriding your plots._
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_Note: create functions that generate the plots and save them in the `results/plots/` directory. Add a parameter `plot` with a default value `False` which doesn't return the plot. This will be useful for the correction to let people run your code without overriding your plots. Plots with titles/labels._
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- Here is how the `prices` data should be preprocessed:
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- Resample data on month and keep the last value
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![alt text][performance]
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[performance]: images/w1_weekend_plot_pnl.png "Cumulative Performance"
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[performance]: results/plots/w1_weekend_plot_pnl.png "Cumulative Performance"
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#### 5. Main
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└───data
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│ │ sp500.csv
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│ | prices.csv
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│ | stock_prices.csv
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└───notebook
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│ │ analysis.ipynb

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