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5. Create folder <pool_address>-prices (example: 0x0d88b55317516b84e78fbba7cde3f910d5686901-prices/), place tradingview csv exports there (file name has to include TOKENFIAT, example AAVEUSD.csv)
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6.`python3 pulldata.py 0x0d88b55317516b84e78fbba7cde3f910d5686901 -f USD` will download the data from Bigquery and save it in a directory for future use, and generate `actions-prices.json`.
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`python3 pulldata.py 0x0d88b55317516b84e78fbba7cde3f910d5686901` will generate a plain `actions.json` but this will not be usable by the simulation.
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6.`python3 pulldata.py 0x0d88b55317516b84e78fbba7cde3f910d5686901 tradingview -f USD` or `python3 pulldata.py 0x0d88b55317516b84e78fbba7cde3f910d5686901 coingecko -f USD` will download the data from Bigquery and save it in a directory for future use, and generate `actions-prices.json`.
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