riteshcp commited on
Commit
7d44db9
·
verified ·
1 Parent(s): 433eb10

Update app.py

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Files changed (1) hide show
  1. app.py +12 -5
app.py CHANGED
@@ -88,7 +88,12 @@ def filter_stocks_by_indicators(stocks, start_date, end_date, rsi_threshold, sto
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  (indicator_choice == 'StochRSI' and stoch_rsi_value < stoch_rsi_threshold) or \
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  (indicator_choice == 'OBV' and obv_change > obv_threshold) or \
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  (indicator_choice == 'All' and rsi_value < rsi_threshold and stoch_rsi_value < stoch_rsi_threshold and obv_change > obv_threshold):
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- filtered_stocks.append(ticker)
 
 
 
 
 
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  st.info(f"{ticker} - RSI: {rsi_value:.2f}, StochRSI: {stoch_rsi_value:.2f}, OBV Change: {obv_change:.2f}%")
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  else:
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  st.info(f"{ticker} - RSI: {rsi_value:.2f}, StochRSI: {stoch_rsi_value:.2f}, OBV Change: {obv_change:.2f}% (doesn't meet criteria)")
@@ -133,15 +138,17 @@ def main():
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  if filtered_stocks:
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  st.success(f"Found {len(filtered_stocks)} stocks meeting the criteria:")
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- st.write(filtered_stocks)
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- df = pd.DataFrame(filtered_stocks, columns=["Ticker"])
 
 
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  st.download_button(
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  label="Download CSV",
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- data=df.to_csv(index=False).encode('utf-8'),
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  file_name=output_filename,
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  mime='text/csv',
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  )
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- st.success(f"Click the button above to download the filtered stocks.")
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  else:
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  st.warning(f"No stocks found meeting the selected criteria.")
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  (indicator_choice == 'StochRSI' and stoch_rsi_value < stoch_rsi_threshold) or \
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  (indicator_choice == 'OBV' and obv_change > obv_threshold) or \
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  (indicator_choice == 'All' and rsi_value < rsi_threshold and stoch_rsi_value < stoch_rsi_threshold and obv_change > obv_threshold):
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+ filtered_stocks.append({
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+ 'Ticker': ticker,
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+ 'RSI': rsi_value,
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+ 'StochRSI': stoch_rsi_value,
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+ 'OBV_Change': obv_change
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+ })
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  st.info(f"{ticker} - RSI: {rsi_value:.2f}, StochRSI: {stoch_rsi_value:.2f}, OBV Change: {obv_change:.2f}%")
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  else:
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  st.info(f"{ticker} - RSI: {rsi_value:.2f}, StochRSI: {stoch_rsi_value:.2f}, OBV Change: {obv_change:.2f}% (doesn't meet criteria)")
 
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  if filtered_stocks:
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  st.success(f"Found {len(filtered_stocks)} stocks meeting the criteria:")
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+ df = pd.DataFrame(filtered_stocks)
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+ st.dataframe(df)
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+
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+ csv_data = df.to_csv(index=False).encode('utf-8')
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  st.download_button(
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  label="Download CSV",
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+ data=csv_data,
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  file_name=output_filename,
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  mime='text/csv',
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  )
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+ st.success(f"Click the button above to download the filtered stocks with RSI, StochRSI, and OBV Change data.")
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  else:
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  st.warning(f"No stocks found meeting the selected criteria.")
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