Download filter.py from raghava4u/Trading-Bot-M20: direct link, hf CLI and curl.
- Browser
- Download file 670 Bytes
-
https://huggingface.co/raghava4u/Trading-Bot-M20/resolve/main/filter.py
- Command line
-
hf download hf://raghava4u/Trading-Bot-M20/filter.py
-
curl -L -o filter.py https://huggingface.co/raghava4u/Trading-Bot-M20/resolve/main/filter.py
670 Bytes
| import sqlite3 | |
| import pandas as pd | |
| universe = "AAPL,MSFT,NVDA,AMD,META,GOOG,TSLA,AMZN,JPM,GS,V,JNJ,PFE,UNH,XOM,CVX,WMT,KO,CAT,GE,DIS,NFLX,SPY,QQQ,IWM,INTC,BAC,SOFI,PLTR,UBER,SHOP,PYPL,MA,CSCO,PEP,MRK,BRK.B,LLY,AVGO,HD,PG,COST,ABBV,CRM,MCD,LIN,IONQ,NBIS,VRT".split(",") | |
| conn = sqlite3.connect('data/market_data.db') | |
| selected = [] | |
| for sym in universe: | |
| try: | |
| df = pd.read_sql_query(f"SELECT close FROM '{sym}_1Day' ORDER BY timestamp DESC LIMIT 1", conn) | |
| if not df.empty: | |
| price = df['close'].iloc[0] | |
| if 50 <= price <= 140: | |
| selected.append(sym) | |
| except Exception as e: | |
| pass | |
| print(",".join(selected)) | |