update fundamental ml
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@ -16,7 +16,7 @@ import subprocess
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async def save_json(symbol, data):
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with open(f"json/fundamental-predictor-analysis/{symbol}.json", 'w') as file:
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orjson.dump(data, file)
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file.write(orjson.dumps(data))
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async def download_data(ticker, con, start_date, end_date):
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@ -219,14 +219,13 @@ async def run():
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cursor.execute("SELECT DISTINCT symbol FROM stocks WHERE marketCap >= 1E9")
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stock_symbols = [row[0] for row in cursor.fetchall()]
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total_symbols = stock_symbols
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print(f"Total tickers: {len(total_symbols)}")
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start_date = datetime(2000, 1, 1).strftime("%Y-%m-%d")
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end_date = datetime.today().strftime("%Y-%m-%d")
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chunk_size = len(total_symbols) #// 70 # Divide the list into N chunks
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chunk_size = len(total_symbols) // 100 # Divide the list into N chunks
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chunks = [total_symbols[i:i + chunk_size] for i in range(0, len(total_symbols), chunk_size)]
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for chunk in chunks:
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tasks = []
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