bugfixing
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@ -386,7 +386,7 @@ async def get_stock_screener(con):
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#Stock Screener Data
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cursor.execute("SELECT symbol, name, change_1W, change_1M, change_3M, change_6M, change_1Y, change_3Y, sma_50, sma_200, ema_50, ema_200, rsi, atr, stoch_rsi, mfi, cci, pe, marketCap, beta FROM stocks WHERE symbol NOT LIKE '%.%' AND eps IS NOT NULL AND marketCap IS NOT NULL AND beta IS NOT NULL")
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cursor.execute("SELECT symbol, name, change_1W, change_1M, change_3M, change_6M, change_1Y, change_3Y, sma_20, sma_50, sma_100, sma_200, ema_20, ema_50, ema_100, ema_200, rsi, atr, stoch_rsi, mfi, cci, pe, marketCap, beta FROM stocks WHERE symbol NOT LIKE '%.%' AND eps IS NOT NULL AND marketCap IS NOT NULL AND beta IS NOT NULL")
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raw_data = cursor.fetchall()
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stock_screener_data = [{
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'symbol': symbol,
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@ -397,9 +397,13 @@ async def get_stock_screener(con):
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'change6M': change_6M,
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'change1Y': change_1Y,
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'change3Y': change_3Y,
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'sma20': sma_20,
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'sma50': sma_50,
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'sma100': sma_100,
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'sma200': sma_200,
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'ema20': ema_20,
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'ema50': ema_50,
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'ema100': ema_100,
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'ema200': ema_200,
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'rsi': rsi,
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'atr': atr,
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@ -409,7 +413,7 @@ async def get_stock_screener(con):
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'pe': pe,
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'marketCap': marketCap,
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'beta': beta,
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} for (symbol, name, change_1W, change_1M, change_3M, change_6M, change_1Y, change_3Y, sma_50, sma_200, ema_50, ema_200, rsi, atr, stoch_rsi, mfi, cci, pe, marketCap, beta) in raw_data]
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} for (symbol, name, change_1W, change_1M, change_3M, change_6M, change_1Y, change_3Y, sma_20, sma_50, sma_100, sma_200, ema_20, ema_50, ema_100, ema_200, rsi, atr, stoch_rsi, mfi, cci, pe, marketCap, beta) in raw_data]
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stock_screener_data = [{k: round(v, 2) if isinstance(v, (int, float)) else v for k, v in entry.items()} for entry in stock_screener_data]
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@ -32,7 +32,7 @@ class TASignals:
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ta_df['sma_200'] = sma_indicator(self.data["Close"], window=200)
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ta_df['ema_20'] = ema_indicator(self.data['Close'], window=20)
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ta_df['ema_50'] = ema_indicator(self.data['Close'], window=50)
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ta_df['sma_100'] = sma_indicator(self.data["Close"], window=100)
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ta_df['ema_100'] = sma_indicator(self.data["Close"], window=100)
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ta_df['ema_200'] = sma_indicator(self.data['Close'], window=200)
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ta_df['rsi'] = rsi(self.data['Close'], window=14)
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ta_df['stoch_rsi'] = stochrsi_k(self.data['Close'], window=14, smooth1 = 3, smooth2 =3)*100
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