{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"import os\n",
"from pathlib import Path\n",
"import warnings\n",
"import pandas as pd\n",
"import numpy as np\n",
"import plotly.express as px\n",
"import plotly.graph_objects as go\n",
"import statsmodels.api as sm\n",
"from scipy.fftpack import fft\n",
"from statsmodels.tsa.stattools import adfuller\n",
"import MetaTrader5 as mt5\n",
"\n",
"\n",
"\n",
"import sys\n",
"import os\n",
"import warnings\n",
"from pathlib import Path\n",
"\n",
"# ---------------------------------------------------------------------------\n",
"# 1) SET PROJECT ROOT AND UPDATE PATH/WORKING DIRECTORY\n",
"# ---------------------------------------------------------------------------\n",
"project_root = Path.cwd().parent.parent # Adjust if your notebook is in notebooks/time_series\n",
"sys.path.append(str(project_root))\n",
"os.chdir(str(project_root))\n",
"warnings.filterwarnings(\"ignore\")\n",
"\n",
"# Import modules for data loading and feature engineering\n",
"from data.data_loader import get_data_mt5\n",
"from features.feature_engineering import add_all_ta_features\n",
"from features.labeling_schemes import calculate_future_returns\n"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"EURUSD\n",
"GBPUSD\n",
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"USDJPY\n",
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"LNC.NYSE\n",
"LYV.NYSE\n",
"L.NYSE\n",
"LOW.NYSE\n",
"LUMN.NYSE\n",
"LYB.NYSE\n",
"MTB.NYSE\n",
"MPC.NYSE\n",
"MMC.NYSE\n",
"MLM.NYSE\n",
"MAS.NYSE\n",
"MKC.NYSE\n",
"MCK.NYSE\n",
"MDT.NYSE\n",
"MET.NYSE\n",
"MTD.NYSE\n",
"MGM.NYSE\n",
"MCHP.NAS\n",
"MAA.NYSE\n",
"MHK.NYSE\n",
"TAP.NYSE\n",
"MNST.NAS\n",
"MCO.NYSE\n",
"MOS.NYSE\n",
"MSI.NYSE\n",
"MSCI.NYSE\n",
"NDAQ.NAS\n",
"NTAP.NAS\n",
"NWL.NAS\n",
"NEM.NYSE\n",
"NWSA.NAS\n",
"NWS.NAS\n",
"NSC.NYSE\n",
"NTRS.NAS\n",
"NOC.NYSE\n",
"NCLH.NYSE\n",
"NOV.NYSE\n",
"NRG.NYSE\n",
"NUE.NYSE\n",
"NVR.NYSE\n",
"ORLY.NAS\n",
"OXY.NYSE\n",
"OMC.NYSE\n",
"OKE.NYSE\n",
"OTIS.NYSE\n",
"PCAR.NAS\n",
"PKG.NYSE\n",
"PH.NYSE\n",
"PAYX.NAS\n",
"PAYC.NYSE\n",
"PNR.NYSE\n",
"PBCT.NAS\n",
"PRGO.NYSE\n",
"PSX.NYSE\n",
"PNW.NYSE\n",
"PNC.NYSE\n",
"PPG.NYSE\n",
"PPL.NYSE\n",
"PFG.NAS\n",
"PGR.NYSE\n",
"PLD.NYSE\n",
"PRU.NYSE\n",
"PEG.NYSE\n",
"PSA.NYSE\n",
"PHM.NYSE\n",
"PVH.NYSE\n",
"PWR.NYSE\n",
"DGX.NYSE\n",
"RJF.NYSE\n",
"RYN.NYSE\n",
"O.NYSE\n",
"REG.NAS\n",
"RF.NYSE\n",
"RSG.NYSE\n",
"RMD.NYSE\n",
"RHI.NYSE\n",
"ROK.NYSE\n",
"ROL.NYSE\n",
"ROP.NYSE\n",
"ROST.NAS\n",
"RCL.NYSE\n",
"SPGI.NYSE\n",
"CRM.NYSE\n",
"STX.NAS\n",
"SEE.NYSE\n",
"SRE.NYSE\n",
"NOW.NYSE\n",
"SPG.NYSE\n",
"SLG.NYSE\n",
"SNA.NYSE\n",
"SO.NYSE\n",
"LUV.NYSE\n",
"SWK.NYSE\n",
"STT.NYSE\n",
"STE.NYSE\n",
"SYK.NYSE\n",
"SYF.NYSE\n",
"SYY.NYSE\n",
"TROW.NAS\n",
"TPR.NYSE\n",
"TGT.NYSE\n",
"TEL.NYSE\n",
"FTI.NYSE\n",
"TDY.NYSE\n",
"TFX.NYSE\n",
"TER.NAS\n",
"TXT.NYSE\n",
"TJX.NYSE\n",
"TT.NYSE\n",
"TDG.NYSE\n",
"TRV.NYSE\n",
"TFC.NYSE\n",
"TYL.NYSE\n",
"TSN.NYSE\n",
"UDR.NYSE\n",
"ULTA.NAS\n",
"UAA.NYSE\n",
"UA.NYSE\n",
"UAL.NAS\n",
"URI.NYSE\n",
"UHS.NYSE\n",
"UNM.NYSE\n",
"VLO.NYSE\n",
"VTR.NYSE\n",
"VRSN.NAS\n",
"VFC.NYSE\n",
"VTRS.NAS\n",
"VNO.NYSE\n",
"VMC.NYSE\n",
"WRB.NYSE\n",
"WAB.NYSE\n",
"WM.NYSE\n",
"WAT.NYSE\n",
"WEC.NYSE\n",
"WELL.NYSE\n",
"WST.NYSE\n",
"WU.NYSE\n",
"WY.NYSE\n",
"WHR.NYSE\n",
"WMB.NYSE\n",
"WLTW.NAS\n",
"WYNN.NAS\n",
"XEL.NAS\n",
"XYL.NYSE\n",
"YUM.NYSE\n",
"ZBH.NYSE\n",
"ZION.NAS\n",
"ZTS.NYSE\n",
"JKHY.NAS\n",
"LKQ.NAS\n",
"MKTX.NAS\n",
"ODFL.NAS\n",
"POOL.NAS\n",
"QRVO.NAS\n",
"RDWR.NAS\n",
"SBAC.NAS\n",
"SWKS.NAS\n",
"SNPS.NAS\n",
"TTWO.NAS\n",
"TSCO.NAS\n",
"TRMB.NAS\n",
"VRSK.NAS\n",
"ZBRA.NAS\n",
"SE.NYSE\n",
"SQ.NYSE\n",
"RTX.NYSE\n",
"SNAP.NYSE\n",
"SNOW.NYSE\n",
"SCCO.NYSE\n",
"CVNA.NYSE\n",
"BX.NYSE\n",
"EPD.NYSE\n",
"TDOC.NYSE\n",
"RKT.NYSE\n",
"PANW.NYSE\n",
"W.NYSE\n",
"KKR.NYSE\n",
"NET.NYSE\n",
"YUMC.NYSE\n",
"MPLX.NYSE\n",
"PCG.NYSE\n",
"HUBS.NYSE\n",
"EPAM.NYSE\n",
"UI.NYSE\n",
"GNRC.NYSE\n",
"QS.NYSE\n",
"CUK.NYSE\n",
"ATUS.NYSE\n",
"ET.NYSE\n",
"TRU.NYSE\n",
"HEI.NYSE\n",
"INVH.NYSE\n",
"SUI.NYSE\n",
"ALLY.NYSE\n",
"MKL.NYSE\n",
"DT.NYSE\n",
"ESTC.NYSE\n",
"CRL.NYSE\n",
"GDDY.NYSE\n",
"SAM.NYSE\n",
"ELAN.NYSE\n",
"FICO.NYSE\n",
"SMG.NYSE\n",
"CCK.NYSE\n",
"MPW.NYSE\n",
"MOH.NYSE\n",
"BRO.NYSE\n",
"WPC.NYSE\n",
"TREX.NYSE\n",
"EQH.NYSE\n",
"FDS.NYSE\n",
"NLY.NYSE\n",
"FNF.NYSE\n",
"MTN.NYSE\n",
"APO.NYSE\n",
"WTRG.NYSE\n",
"ELS.NYSE\n",
"BAH.NYSE\n",
"RPM.NYSE\n",
"LII.NYSE\n",
"DAR.NYSE\n",
"WLK.NYSE\n",
"TTC.NYSE\n",
"BG.NYSE\n",
"BFAM.NYSE\n",
"GWRE.NYSE\n",
"CPT.NYSE\n",
"CCIV.NYSE\n",
"LAD.NYSE\n",
"RH.NYSE\n",
"TWLO.NYSE\n",
"ABNB.NAS\n",
"AFRM.NAS\n",
"ALNY.NAS\n",
"AMED.NAS\n",
"APPN.NAS\n",
"AZPN.NAS\n",
"BMRN.NAS\n",
"BSY.NAS\n",
"BYND.NAS\n",
"CG.NAS\n",
"CGNX.NAS\n",
"CRWD.NAS\n",
"CSGP.NAS\n",
"CZR.NAS\n",
"DBX.NAS\n",
"DDOG.NAS\n",
"DKNG.NAS\n",
"DOCU.NAS\n",
"ENTG.NAS\n",
"ERIE.NAS\n",
"EXAS.NAS\n",
"EXPI.NAS\n",
"FIVE.NAS\n",
"FIVN.NAS\n",
"FSLR.NAS\n",
"FWONK.NAS\n",
"GDRX.NAS\n",
"GLPI.NAS\n",
"IAC.NAS\n",
"IBKR.NAS\n",
"IEP.NAS\n",
"KDP.NAS\n",
"LAZR.NAS\n",
"LBRDA.NAS\n",
"LBRDK.NAS\n",
"LOGI.NAS\n",
"LPLA.NAS\n",
"MASI.NAS\n",
"MDB.NAS\n",
"MORN.NAS\n",
"MPWR.NAS\n",
"MRNA.NAS\n",
"MTCH.NAS\n",
"NBIX.NAS\n",
"NDSN.NAS\n",
"NTRA.NAS\n",
"NVAX.NAS\n",
"OKTA.NAS\n",
"OLED.NAS\n",
"ON.NAS\n",
"OPEN.NAS\n",
"PCTY.NAS\n",
"PEGA.NAS\n",
"PENN.NAS\n",
"PLUG.NAS\n",
"PODD.NAS\n",
"PTC.NAS\n",
"PTON.NAS\n",
"RGEN.NAS\n",
"ROKU.NAS\n",
"RPRX.NAS\n",
"RUN.NAS\n",
"SIRI.NAS\n",
"SSNC.NAS\n",
"TECH.NAS\n",
"TTD.NAS\n",
"WDAY.NAS\n",
"WISH.NAS\n",
"WMG.NAS\n",
"Z.NAS\n",
"ZG.NAS\n",
"ZI.NAS\n",
"ZM.NAS\n",
"ZS.NAS\n",
"MUX.NYSE\n",
"BEST.NYSE\n",
"QD.NYSE\n",
"CIG.NYSE\n",
"LYG.NYSE\n",
"TTI.NYSE\n",
"ABEV.NYSE\n",
"BBAR.NYSE\n",
"KOS.NYSE\n",
"GNW.NYSE\n",
"RIG.NYSE\n",
"NAT.NYSE\n",
"SAN.NYSE\n",
"WTI.NYSE\n",
"NOK.NYSE\n",
"MITT.NYSE\n",
"IVR.NYSE\n",
"MFA.NYSE\n",
"BRFS.NYSE\n",
"BBD.NYSE\n",
"SWN.NYSE\n",
"TEF.NYSE\n",
"ITUB.NYSE\n",
"HMY.NYSE\n",
"HLX.NYSE\n",
"EXK.NYSE\n",
"GCI.NYSE\n",
"ARCO.NYSE\n",
"VHC.NYSE\n",
"CRK.NYSE\n",
"GGB.NYSE\n",
"GEO.NYSE\n",
"DHT.NYSE\n",
"AMRX.NYSE\n",
"AIV.NYSE\n",
"BKD.NYSE\n",
"PHK.NYSE\n",
"FSM.NYSE\n",
"CX.NYSE\n",
"KGC.NYSE\n",
"TWO.NYSE\n",
"SBS.NYSE\n",
"AGRO.NYSE\n",
"PBI.NYSE\n",
"PBR.NYSE\n",
"COTY.NYSE\n",
"BW.NYSE\n",
"AM.NYSE\n",
"ADT.NYSE\n",
"UMC.NYSE\n",
"NVGS.NYSE\n",
"BB.NYSE\n",
"CDE.NYSE\n",
"GEL.NYSE\n",
"BDJ.NYSE\n",
"AXL.NYSE\n",
"AROC.NYSE\n",
"TV.NYSE\n",
"TWI.NYSE\n",
"CMRE.NYSE\n",
"DNOW.NYSE\n",
"RYAM.NYSE\n",
"RRC.NYSE\n",
"GFI.NYSE\n",
"PGRE.NYSE\n",
"AR.NYSE\n",
"INN.NYSE\n",
"DRH.NYSE\n",
"BCS.NYSE\n",
"RWT.NYSE\n",
"PUMP.NYSE\n",
"SOL.NYSE\n",
"RPAI.NYSE\n",
"EGO.NYSE\n",
"FBP.NYSE\n",
"ESRT.NYSE\n",
"FPI.NYSE\n",
"TEVA.NYSE\n",
"LXP.NYSE\n",
"LBRT.NYSE\n",
"HYLN.NYSE\n",
"MGY.NYSE\n",
"HYT.NYSE\n",
"TALO.NYSE\n",
"ARR.NYSE\n",
"CYH.NYSE\n",
"DB.NYSE\n",
"ING.NYSE\n",
"SHO.NYSE\n",
"EC.NYSE\n",
"CIM.NYSE\n",
"BDN.NYSE\n",
"SCM.NYSE\n",
"CARS.NYSE\n",
"CLDT.NYSE\n",
"GMRE.NYSE\n",
"SITC.NYSE\n",
"AMX.NYSE\n",
"MWA.NYSE\n",
"SCS.NYSE\n",
"EVRI.NYSE\n",
"PBF.NYSE\n",
"EDU.NYSE\n",
"OI.NYSE\n",
"CNX.NYSE\n",
"YEXT.NYSE\n",
"KAR.NYSE\n",
"VLRS.NYSE\n",
"USAC.NYSE\n",
"IRT.NYSE\n",
"RLJ.NYSE\n",
"M.NYSE\n",
"ABR.NYSE\n",
"KRO.NYSE\n",
"IGT.NYSE\n",
"MUR.NYSE\n",
"HTGC.NYSE\n",
"AG.NYSE\n",
"UE.NYSE\n",
"MANU.NYSE\n",
"SA.NYSE\n",
"AMWL.NYSE\n",
"CCJ.NYSE\n",
"TAK.NYSE\n",
"PDM.NYSE\n",
"SM.NYSE\n",
"VST.NYSE\n",
"DBI.NYSE\n",
"EQT.NYSE\n",
"CCU.NYSE\n",
"CLF.NYSE\n",
"TPC.NYSE\n",
"STNG.NYSE\n",
"VALE.NYSE\n",
"PTY.NYSE\n",
"SBSW.NYSE\n",
"GPK.NYSE\n",
"GNL.NYSE\n",
"SRG.NYSE\n",
"DX.NYSE\n",
"INFY.NYSE\n",
"GTN.NYSE\n",
"CVI.NYSE\n",
"AKR.NYSE\n",
"EQNR.NYSE\n",
"SBH.NYSE\n",
"TME.NYSE\n",
"TECK.NYSE\n",
"TGNA.NYSE\n",
"TROX.NYSE\n",
"BRX.NYSE\n",
"KW.NYSE\n",
"GOLD.NYSE\n",
"CAL.NYSE\n",
"FSK.NYSE\n",
"MTW.NYSE\n",
"CADE.NYSE\n",
"AZUL.NYSE\n",
"TPH.NYSE\n",
"PSTG.NYSE\n",
"PK.NYSE\n",
"IMAX.NYSE\n",
"FLR.NYSE\n",
"OUT.NYSE\n",
"AU.NYSE\n",
"ATI.NYSE\n",
"DK.NYSE\n",
"HRB.NYSE\n",
"CNK.NYSE\n",
"ORI.NYSE\n",
"RDN.NYSE\n",
"EPRT.NYSE\n",
"EB.NYSE\n",
"BOX.NYSE\n",
"MTDR.NYSE\n",
"PEB.NYSE\n",
"FLO.NYSE\n",
"DAN.NYSE\n",
"BSAC.NYSE\n",
"STWD.NYSE\n",
"LEVI.NYSE\n",
"MD.NYSE\n",
"CNO.NYSE\n",
"DDD.NYSE\n",
"BE.NYSE\n",
"HOME.NYSE\n",
"MX.NYSE\n",
"HP.NYSE\n",
"ELF.NYSE\n",
"SKM.NYSE\n",
"HPP.NYSE\n",
"NOMD.NYSE\n",
"FCPT.NYSE\n",
"EQC.NYSE\n",
"CWEN.NYSE\n",
"HUN.NYSE\n",
"ZTO.NYSE\n",
"CC.NYSE\n",
"PBA.NYSE\n",
"GTY.NYSE\n",
"SPCE.NYSE\n",
"HMC.NYSE\n",
"HSBC.NYSE\n",
"AXTA.NYSE\n",
"VIPS.NYSE\n",
"AVTR.NYSE\n",
"JEF.NYSE\n",
"AEO.NYSE\n",
"HR.NYSE\n",
"CMC.NYSE\n",
"BXMT.NYSE\n",
"TRGP.NYSE\n",
"AA.NYSE\n",
"TMHC.NYSE\n",
"LRN.NYSE\n",
"JBGS.NYSE\n",
"DEI.NYSE\n",
"AAT.NYSE\n",
"ASAN.NYSE\n",
"AMH.NYSE\n",
"MMI.NYSE\n",
"STAG.NYSE\n",
"CUZ.NYSE\n",
"UNFI.NYSE\n",
"JWN.NYSE\n",
"ANF.NYSE\n",
"JMIA.NYSE\n",
"KBR.NYSE\n",
"OMI.NYSE\n",
"HGV.NYSE\n",
"PLT.NYSE\n",
"NIO.NYSE\n",
"BTI.NYSE\n",
"USFD.NYSE\n",
"OHI.NYSE\n",
"NCR.NYSE\n",
"ARMK.NYSE\n",
"GVA.NYSE\n",
"EPC.NYSE\n",
"CUBE.NYSE\n",
"COLD.NYSE\n",
"TX.NYSE\n",
"OLN.NYSE\n",
"ATGE.NYSE\n",
"TDC.NYSE\n",
"YELP.NYSE\n",
"HOG.NYSE\n",
"NSA.NYSE\n",
"MAIN.NYSE\n",
"RMAX.NYSE\n",
"PD.NYSE\n",
"UGI.NYSE\n",
"KMT.NYSE\n",
"VVI.NYSE\n",
"JOE.NYSE\n",
"PRG.NYSE\n",
"HIW.NYSE\n",
"SKX.NYSE\n",
"LTC.NYSE\n",
"BDC.NYSE\n",
"HLF.NYSE\n",
"BAM.NYSE\n",
"NNN.NYSE\n",
"BJ.NYSE\n",
"LAZ.NYSE\n",
"FR.NYSE\n",
"AJRD.NYSE\n",
"ENR.NYSE\n",
"RVLV.NYSE\n",
"GDOT.NYSE\n",
"PAGS.NYSE\n",
"ESNT.NYSE\n",
"AMRC.NYSE\n",
"SPR.NYSE\n",
"KBH.NYSE\n",
"EPR.NYSE\n",
"NYT.NYSE\n",
"SAH.NYSE\n",
"KNX.NYSE\n",
"CPRI.NYSE\n",
"THC.NYSE\n",
"ABM.NYSE\n",
"SCI.NYSE\n",
"NUS.NYSE\n",
"REXR.NYSE\n",
"THS.NYSE\n",
"JBL.NYSE\n",
"HASI.NYSE\n",
"BIP.NYSE\n",
"CIEN.NYSE\n",
"FL.NYSE\n",
"HXL.NYSE\n",
"GEF.NYSE\n",
"PFGC.NYSE\n",
"FAF.NYSE\n",
"DCI.NYSE\n",
"UVV.NYSE\n",
"TOL.NYSE\n",
"AER.NYSE\n",
"LPX.NYSE\n",
"TRNO.NYSE\n",
"KSS.NYSE\n",
"XEC.NYSE\n",
"BYD.NYSE\n",
"GMED.NYSE\n",
"BUD.NYSE\n",
"SON.NYSE\n",
"BOOT.NYSE\n",
"ACM.NYSE\n",
"KRC.NYSE\n",
"ADC.NYSE\n",
"EAT.NYSE\n",
"UHT.NYSE\n",
"ONTO.NYSE\n",
"NEP.NYSE\n",
"CUB.NYSE\n",
"YETI.NYSE\n",
"ORA.NYSE\n",
"R.NYSE\n",
"SXT.NYSE\n",
"GKOS.NYSE\n",
"BCO.NYSE\n",
"PAG.NYSE\n",
"EHC.NYSE\n",
"DKS.NYSE\n",
"EBS.NYSE\n",
"CHWY.NYSE\n",
"WGO.NYSE\n",
"CPA.NYSE\n",
"PLNT.NYSE\n",
"GIB.NYSE\n",
"NSP.NYSE\n",
"H.NYSE\n",
"AIN.NYSE\n",
"WCC.NYSE\n",
"NVS.NYSE\n",
"CHGG.NYSE\n",
"SPB.NYSE\n",
"DIN.NYSE\n",
"ASH.NYSE\n",
"INGR.NYSE\n",
"AN.NYSE\n",
"LMND.NYSE\n",
"DELL.NYSE\n",
"CRI.NYSE\n",
"MTH.NYSE\n",
"ENS.NYSE\n",
"NBR.NYSE\n",
"ATHM.NYSE\n",
"MTZ.NYSE\n",
"BMI.NYSE\n",
"DDS.NYSE\n",
"BC.NYSE\n",
"U.NYSE\n",
"IDA.NYSE\n",
"USNA.NYSE\n",
"QTWO.NYSE\n",
"ARW.NYSE\n",
"HAE.NYSE\n",
"EME.NYSE\n",
"SHAK.NYSE\n",
"AFG.NYSE\n",
"IBP.NYSE\n",
"OSK.NYSE\n",
"SNX.NYSE\n",
"RL.NYSE\n",
"RGA.NYSE\n",
"CNMD.NYSE\n",
"THG.NYSE\n",
"THO.NYSE\n",
"PII.NYSE\n",
"JBT.NYSE\n",
"FCN.NYSE\n",
"NVRO.NYSE\n",
"MUSA.NYSE\n",
"AGCO.NYSE\n",
"EGP.NYSE\n",
"AMG.NYSE\n",
"RS.NYSE\n",
"GPI.NYSE\n",
"RNR.NYSE\n",
"AYI.NYSE\n",
"VAC.NYSE\n",
"WSM.NYSE\n",
"JLL.NYSE\n",
"LEA.NYSE\n",
"MSGS.NYSE\n",
"HUBB.NYSE\n",
"IIPR.NYSE\n",
"INSP.NYSE\n",
"WEX.NYSE\n",
"MED.NYSE\n",
"FVRR.NYSE\n",
"VEEV.NYSE\n",
"WSO.NYSE\n",
"PEN.NYSE\n",
"ALX.NYSE\n",
"RNG.NYSE\n",
"BURL.NYSE\n",
"DECK.NYSE\n",
"CHE.NYSE\n",
"GHC.NYSE\n",
"SHOP.NYSE\n",
"MAN.NYSE\n",
"MAC.NYSE\n",
"TAL.NYSE\n",
"SNDL.NAS\n",
"TNXP.NAS\n",
"TXMD.NAS\n",
"GERN.NAS\n",
"JFU.NAS\n",
"VEON.NAS\n",
"CRBP.NAS\n",
"MARK.NAS\n",
"NBEV.NAS\n",
"NERV.NAS\n",
"VSTM.NAS\n",
"AGEN.NAS\n",
"ABUS.NAS\n",
"RIGL.NAS\n",
"IFRX.NAS\n",
"OVID.NAS\n",
"CRNT.NAS\n",
"WATT.NAS\n",
"SELB.NAS\n",
"GNPX.NAS\n",
"MNKD.NAS\n",
"TRVG.NAS\n",
"VRAY.NAS\n",
"OPK.NAS\n",
"CPRX.NAS\n",
"NYMT.NAS\n",
"NCMI.NAS\n",
"IZEA.NAS\n",
"VYGR.NAS\n",
"ARAY.NAS\n",
"ADAP.NAS\n",
"LXRX.NAS\n",
"VXRT.NAS\n",
"FRSX.NAS\n",
"CERS.NAS\n",
"VKTX.NAS\n",
"AYRO.NAS\n",
"WIMI.NAS\n",
"XNET.NAS\n",
"KNDI.NAS\n",
"PRQR.NAS\n",
"VYNE.NAS\n",
"CNDT.NAS\n",
"PTEN.NAS\n",
"AYTU.NAS\n",
"PGEN.NAS\n",
"PLYA.NAS\n",
"BNGO.NAS\n",
"OCGN.NAS\n",
"NNDM.NAS\n",
"PSEC.NAS\n",
"HLIT.NAS\n",
"GEVO.NAS\n",
"INO.NAS\n",
"DTIL.NAS\n",
"INSG.NAS\n",
"GOSS.NAS\n",
"PAA.NAS\n",
"CODX.NAS\n",
"EGAN.NAS\n",
"FOLD.NAS\n",
"PBYI.NAS\n",
"PAGP.NAS\n",
"ADVM.NAS\n",
"SY.NAS\n",
"INFN.NAS\n",
"CRMD.NAS\n",
"DVAX.NAS\n",
"GOGO.NAS\n",
"DOYU.NAS\n",
"GLAD.NAS\n",
"NMRK.NAS\n",
"BCRX.NAS\n",
"QIWI.NAS\n",
"NDLS.NAS\n",
"OSUR.NAS\n",
"GLNG.NAS\n",
"VRA.NAS\n",
"UNIT.NAS\n",
"CAMP.NAS\n",
"CRIS.NAS\n",
"SGMO.NAS\n",
"SVC.NAS\n",
"GPRO.NAS\n",
"ALDX.NAS\n",
"FOSL.NAS\n",
"CWCO.NAS\n",
"FCEL.NAS\n",
"ERIC.NAS\n",
"WKHS.NAS\n",
"ALT.NAS\n",
"LILA.NAS\n",
"CLNE.NAS\n",
"EOLS.NAS\n",
"ATRA.NAS\n",
"ANGI.NAS\n",
"NAVI.NAS\n",
"CHRS.NAS\n",
"SSSS.NAS\n",
"ZYXI.NAS\n",
"MITK.NAS\n",
"COMM.NAS\n",
"SSRM.NAS\n",
"MOMO.NAS\n",
"SABR.NAS\n",
"MVIS.NAS\n",
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"VIAV.NAS\n",
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"OCUL.NAS\n",
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"XBIT.NAS\n",
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"GT.NAS\n",
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"ARCC.NAS\n",
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"ACAD.NAS\n",
"JBLU.NAS\n",
"PCVX.NAS\n",
"CLDX.NAS\n",
"VREX.NAS\n",
"CLSK.NAS\n",
"WEN.NAS\n",
"CONN.NAS\n",
"NMIH.NAS\n",
"LI.NAS\n",
"CYTK.NAS\n",
"SNDX.NAS\n",
"EXEL.NAS\n",
"ILPT.NAS\n",
"CDXS.NAS\n",
"ALVR.NAS\n",
"QFIN.NAS\n",
"LBTYK.NAS\n",
"LBTYA.NAS\n",
"SFM.NAS\n",
"CARA.NAS\n",
"BLMN.NAS\n",
"FLWS.NAS\n",
"ANDE.NAS\n",
"HEAR.NAS\n",
"NTNX.NAS\n",
"KTOS.NAS\n",
"OPI.NAS\n",
"GPRE.NAS\n",
"TSEM.NAS\n",
"VUZI.NAS\n",
"BLUE.NAS\n",
"SBGI.NAS\n",
"GIII.NAS\n",
"MMYT.NAS\n",
"ITCI.NAS\n",
"CHEF.NAS\n",
"PDCO.NAS\n",
"WW.NAS\n",
"PACB.NAS\n",
"QURE.NAS\n",
"PINC.NAS\n",
"SNSR.NAS\n",
"EH.NAS\n",
"SSTI.NAS\n",
"BLFS.NAS\n",
"STOK.NAS\n",
"GNTX.NAS\n",
"NIU.NAS\n",
"AY.NAS\n",
"EVER.NAS\n",
"GO.NAS\n",
"BZUN.NAS\n",
"URBN.NAS\n",
"TCOM.NAS\n",
"XP.NAS\n",
"PFF.NAS\n",
"RRGB.NAS\n",
"TIGO.NAS\n",
"ARCT.NAS\n",
"FWONA.NAS\n",
"SONO.NAS\n",
"IRDM.NAS\n",
"EDIT.NAS\n",
"SANM.NAS\n",
"ODP.NAS\n",
"BLNK.NAS\n",
"SLGN.NAS\n",
"HALO.NAS\n",
"CIBR.NAS\n",
"AVT.NAS\n",
"HAIN.NAS\n",
"PGNY.NAS\n",
"PLAY.NAS\n",
"IONS.NAS\n",
"CSIQ.NAS\n",
"UPWK.NAS\n",
"RVMD.NAS\n",
"BHF.NAS\n",
"VIR.NAS\n",
"FROG.NAS\n",
"BLDR.NAS\n",
"MARA.NAS\n",
"FIZZ.NAS\n",
"LSCC.NAS\n",
"WB.NAS\n",
"MRVL.NAS\n",
"ISTB.NAS\n",
"STLD.NAS\n",
"VTIP.NAS\n",
"SFIX.NAS\n",
"VCYT.NAS\n",
"IUSB.NAS\n",
"INGN.NAS\n",
"TRIP.NAS\n",
"SKYW.NAS\n",
"TPIC.NAS\n",
"AXSM.NAS\n",
"UEIC.NAS\n",
"HTHT.NAS\n",
"PCH.NAS\n",
"LPSN.NAS\n",
"DOMO.NAS\n",
"BBIO.NAS\n",
"CEVA.NAS\n",
"CAKE.NAS\n",
"SEIC.NAS\n",
"YNDX.NAS\n",
"PRFT.NAS\n",
"ARWR.NAS\n",
"STNE.NAS\n",
"SNEX.NAS\n",
"RDFN.NAS\n",
"BRKR.NAS\n",
"HQY.NAS\n",
"IUSV.NAS\n",
"IDCC.NAS\n",
"SMTC.NAS\n",
"PLCE.NAS\n",
"EHTH.NAS\n",
"IXUS.NAS\n",
"SRPT.NAS\n",
"MRCY.NAS\n",
"CAR.NAS\n",
"SDGR.NAS\n",
"NTLA.NAS\n",
"RPD.NAS\n",
"FATE.NAS\n",
"SAGE.NAS\n",
"MCHI.NAS\n",
"POWI.NAS\n",
"CROX.NAS\n",
"SHY.NAS\n",
"ALRM.NAS\n",
"CRUS.NAS\n",
"OLLI.NAS\n",
"ACMR.NAS\n",
"TNDM.NAS\n",
"LITE.NAS\n",
"CVAC.NAS\n",
"PZZA.NAS\n",
"AAXJ.NAS\n",
"ITRI.NAS\n",
"IUSG.NAS\n",
"BPMC.NAS\n",
"LAMR.NAS\n",
"ACWI.NAS\n",
"TXRH.NAS\n",
"SKYY.NAS\n",
"NTES.NAS\n",
"AMBA.NAS\n",
"BILI.NAS\n",
"CDLX.NAS\n",
"EMB.NAS\n",
"SHV.NAS\n",
"JACK.NAS\n",
"RYAAY.NAS\n",
"IEF.NAS\n",
"BNTX.NAS\n",
"AVAV.NAS\n",
"CHKP.NAS\n",
"DVY.NAS\n",
"IRBT.NAS\n",
"CRSP.NAS\n",
"LECO.NAS\n",
"VC.NAS\n",
"QDEL.NAS\n",
"NVCR.NAS\n",
"IRTC.NAS\n",
"CYBR.NAS\n",
"SYNA.NAS\n",
"PDD.NAS\n",
"APPF.NAS\n",
"EEFT.NAS\n",
"NXST.NAS\n",
"SLAB.NAS\n",
"JOUT.NAS\n",
"IBB.NAS\n",
"FRPT.NAS\n",
"JAZZ.NAS\n",
"CBRL.NAS\n",
"UTHR.NAS\n",
"MKSI.NAS\n",
"NXPI.NAS\n",
"CASY.NAS\n",
"TEAM.NAS\n",
"BIDU.NAS\n",
"TREE.NAS\n",
"CHDN.NAS\n",
"NICE.NAS\n",
"SMH.NAS\n",
"VONG.NAS\n",
"SEDG.NAS\n",
"WIX.NAS\n",
"LULU.NAS\n",
"CACC.NAS\n",
"SOXX.NAS\n",
"MSTR.NAS\n",
"MELI.NAS\n",
"ADAUSD\n",
"HOOD.NAS\n",
"XTZUSD\n",
"DOGUSD\n",
"UNIUSD\n",
"BNBUSD\n",
"DE40\n",
"MidDE50\n",
"DOTUSD\n",
"LNKUSD\n",
"MVRS.NAS\n",
"MXL.NAS\n",
"DBRG.NYSE\n",
"XAUJPY\n",
"XAUCHF\n",
"XAUGBP\n",
"XAGAUD\n",
"PARA.NAS\n",
"ADAG.NAS\n",
"ADX.NYSE\n",
"AHCO.NAS\n",
"ADPT.NAS\n",
"ADUS.NAS\n",
"ADNT.NYSE\n",
"ASIX.NYSE\n",
"WMS.NYSE\n",
"ADV.NAS\n",
"AVK.NYSE\n",
"ADN.NAS\n",
"AEG.NYSE\n",
"AEHR.NAS\n",
"AMTX.NAS\n",
"AENZ.NYSE\n",
"AFYA.NAS\n",
"AEM.NYSE\n",
"BIRD.NAS\n",
"AMR.NYSE\n",
"ATEC.NAS\n",
"PINE.NYSE\n",
"ALTG.NYSE\n",
"ASTE.NAS\n",
"AZN.NAS\n",
"ACLS.NAS\n",
"AXS.NYSE\n",
"AXON.NAS\n",
"BBW.NYSE\n",
"CNHI.NYSE\n",
"CHI.NAS\n",
"CWT.NYSE\n",
"CBAN.NAS\n",
"STK.NYSE\n",
"CBU.NYSE\n",
"CW.NYSE\n",
"CTKB.NAS\n",
"FHN.NYSE\n",
"GME.NYSE\n",
"GNK.NYSE\n",
"GABC.NAS\n",
"GSK.NYSE\n",
"GRAB.NAS\n",
"GRIN.NAS\n",
"GRPN.NAS\n",
"GRWG.NAS\n",
"KEN.NYSE\n",
"LXU.NYSE\n",
"LU.NYSE\n",
"MNDY.NAS\n",
"PBT.NYSE\n",
"RIVN.NAS\n",
"RBLX.NYSE\n",
"RKLB.NAS\n",
"RCKT.NAS\n",
"RY.NYSE\n",
"SB.NYSE\n",
"SGA.NAS\n",
"SPNS.NAS\n",
"SAR.NYSE\n",
"SOFI.NAS\n",
"STKL.NAS\n",
"TFSL.NAS\n",
"TSBK.NAS\n",
"TKR.NYSE\n",
"UPST.NAS\n",
"URGN.NAS\n",
"USIO.NAS\n",
"VECO.NAS\n",
"VET.NYSE\n",
"VSCO.NYSE\n",
"VNOM.NAS\n",
"WERN.NAS\n",
"SOLUSD\n",
"AVXUSD\n",
"KSMUSD\n",
"GLMUSD\n",
"MTCUSD\n",
"ABEO.NAS\n",
"FAX.NYSE\n",
"AWP.NYSE\n",
"ACP.NYSE\n",
"AOD.NYSE\n",
"RERE.NYSE\n",
"AIKI.NAS\n",
"ALRN.NAS\n",
"AL.NYSE\n",
"ATSG.NAS\n",
"AIRS.NAS\n",
"AIRG.NAS\n",
"ANTE.NAS\n",
"AKTX.NAS\n",
"AKRO.NAS\n",
"AKYA.NAS\n",
"AHG.NAS\n",
"ALG.NYSE\n",
"AGI.NYSE\n",
"ACI.NYSE\n",
"ALC.NYSE\n",
"ALEC.NAS\n",
"ALRS.NAS\n",
"ALEX.NYSE\n",
"DOX.NAS\n",
"AVD.NYSE\n",
"AX.NYSE\n",
"BHLB.NYSE\n",
"BZFD.NAS\n",
"LAW.NYSE\n",
"CALX.NYSE\n",
"CWST.NAS\n",
"CASS.NAS\n",
"SAVA.NAS\n",
"CSTL.NAS\n",
"CTRM.NAS\n",
"CATY.NAS\n",
"CATO.NYSE\n",
"CVCO.NAS\n",
"FUN.NYSE\n",
"CELC.NAS\n",
"CLS.NYSE\n",
"CLBT.NAS\n",
"CLRB.NAS\n",
"CELH.NAS\n",
"CELU.NAS\n",
"CPAC.NYSE\n",
"CENN.NAS\n",
"CVE.NYSE\n",
"CSR.NYSE\n",
"COIN.NAS\n",
"COUR.NYSE\n",
"CRSR.NAS\n",
"DAVE.NAS\n",
"DAWN.NAS\n",
"EKSO.NAS\n",
"EEX.NYSE\n",
"GAME.NAS\n",
"EVO.NAS\n",
"XGN.NAS\n",
"XCUR.NAS\n",
"EXLS.NAS\n",
"EXFY.NAS\n",
"EXPO.NAS\n",
"XPRO.NYSE\n",
"RACE.NYSE\n",
"GMS.NYSE\n",
"GSIT.NAS\n",
"LAND.NAS\n",
"GES.NYSE\n",
"ICFI.NAS\n",
"IHS.NYSE\n",
"IGMS.NAS\n",
"LGFa.NYSE\n",
"SHEL.NYSE\n",
"SHEN.NAS\n",
"FOUR.NYSE\n",
"SHG.NYSE\n",
"SHLS.NAS\n",
"SCVL.NAS\n",
"SHBI.NAS\n",
"SSTK.NYSE\n",
"SHYF.NAS\n",
"SITM.NAS\n",
"BSRR.NAS\n",
"SIFY.NAS\n",
"SGHT.NAS\n",
"SIG.NYSE\n",
"SILC.NAS\n",
"SIMO.NAS\n",
"SAMG.NAS\n",
"SMWB.NYSE\n",
"SFNC.NAS\n",
"STGW.NAS\n",
"SLI.NYSE\n",
"SMP.NYSE\n",
"SXI.NYSE\n",
"STN.NYSE\n",
"SBLK.NAS\n",
"SGU.NYSE\n",
"GASS.NAS\n",
"STLA.NYSE\n",
"STEM.NYSE\n",
"STEP.NAS\n",
"SCL.NYSE\n",
"STXS.NYSE\n",
"SBT.NAS\n",
"STRL.NAS\n",
"STVN.NYSE\n",
"THR.NYSE\n",
"TDUP.NAS\n",
"THRY.NAS\n",
"TDW.NYSE\n",
"TINV.NYSE\n",
"TLYS.NYSE\n",
"UL.NYSE\n",
"VINC.NAS\n",
"VINP.NAS\n",
"BBIG.NAS\n",
"VIOT.NAS\n",
"ARKK.NYSE\n",
"ARKF.NYSE\n",
"IAU.NYSE\n",
"XLV.NYSE\n",
"XLK.NYSE\n",
"XLY.NYSE\n",
"BFH.NYSE\n",
"OJ_H3\n",
"GRMN.NYSE\n",
"AAVEUSD\n",
"P911.ETR\n",
"XWEL.NAS\n",
"TXG.NAS\n",
"WT.NYSE\n",
"CECO.NAS\n",
"EGHT.NAS\n",
"EVRG.NAS\n",
"INDY.NAS\n",
"YINN.NYSE\n",
"EWT.NYSE\n",
"EWC.NYSE\n",
"EPHE.NYSE\n",
"EWY.NYSE\n",
"RVTY.NYSE\n",
"NVRI.NYSE\n",
"BGC.NAS\n",
"EG.NYSE\n",
"ROP.NAS\n",
"CDP.NYSE\n",
"COO.NAS\n",
"DASH.NAS\n",
"LIN.NAS\n",
"BYON.NYSE\n",
"EXPD.NYSE\n",
"SYRE.NAS\n",
"RGS.NAS\n",
"TLPH.NAS\n",
"ARQ.NAS\n",
"DAY.NYSE\n",
"GRYP.NAS\n",
"MTUS.NYSE\n",
"DOC.NYSE\n",
"TRAW.NAS\n",
"OPM.PAR\n",
"ABCB.NYSE\n",
"GAP.NYSE\n",
"Corn_K5\n",
"Wheat_K5\n",
"Sugar_K5\n",
"EURBBL_H5\n",
"EURSCA_H5\n",
"UST10Y_M5\n",
"UKGB_M5\n",
"ITB10Y_H5\n",
"Cocoa_K5\n",
"Cotton_K5\n",
"Sbean_K5\n",
"VIX_H5\n",
"JGB10Y_H5\n",
"UST30Y_M5\n",
"UST05Y_M5\n",
"EURBND_H5\n",
"DXY_H5\n",
"BRENT_K5\n",
"WTI_J5\n",
"OJ_K5\n",
"Coffee_K5\n",
"CURB.NYSE\n",
"CBAN.NYSE\n",
"PLTR.NAS\n",
"DPZ.NAS\n",
"XIFR.NYSE\n",
"SGI.NYSE\n"
]
},
{
"data": {
"text/plain": [
"True"
]
},
"execution_count": 2,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"import MetaTrader5 as mt5\n",
"\n",
"# Initialize connection to MetaTrader 5\n",
"if not mt5.initialize():\n",
" print(\"initialize() failed, error code =\", mt5.last_error())\n",
" quit()\n",
"\n",
"# Retrieve all available symbols\n",
"symbols = mt5.symbols_get()\n",
"\n",
"# Print the names of all symbols\n",
"for symbol in symbols:\n",
" print(symbol.name)\n",
"\n",
"# Shutdown MT5 connection\n",
"mt5.shutdown()\n"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"c:\\Users\\moham\\miniconda3\\envs\\dl\\Lib\\site-packages\\ta\\trend.py:1030: FutureWarning:\n",
"\n",
"Series.__setitem__ treating keys as positions is deprecated. In a future version, integer keys will always be treated as labels (consistent with DataFrame behavior). To set a value by position, use `ser.iloc[pos] = value`\n",
"\n"
]
},
{
"data": {
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"Dataset Info:\n",
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"DatetimeIndex: 999 entries, 2024-09-14 08:00:00 to 2025-02-27 16:00:00\n",
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"source": [
"# Initialize MetaTrader 5\n",
"if not mt5.initialize():\n",
" print(\"Failed to initialize MT5\")\n",
"else:\n",
" SYMBOL = \"BTCUSD\" # Modify to analyze different assets\n",
" TIMEFRAME = mt5.TIMEFRAME_H4\n",
" N_BARS = 1000\n",
" df = get_data_mt5(symbol=SYMBOL, timeframe=TIMEFRAME, n_bars=N_BARS)\n",
" mt5.shutdown()\n",
"\n",
"# Apply technical indicators and feature engineering\n",
"df = add_all_ta_features(df)\n",
"df = calculate_future_returns(df).dropna(subset=[\"future_returns\"])\n",
"\n",
"# Ensure indicator columns exist\n",
"available_features = df.columns.tolist()\n",
"selected_features = [col for col in [\"close\", \"rsi_14\", \"macd\", \"stoch_%K\", \"volume\"] if col in available_features]\n",
"\n",
"df_selected = df[selected_features].dropna()\n",
"if not df_selected.empty:\n",
" fig = px.scatter_matrix(df_selected)\n",
" fig.show()\n",
"else:\n",
" print(\"No selected features are available in the dataset.\")\n",
"\n",
"# Basic Data Overview\n",
"print(\"\\nDataset Info:\")\n",
"print(df.info())\n",
"print(\"\\nMissing Values:\")\n",
"print(df.isnull().sum())\n"
]
},
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"radialaxis": {
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"linecolor": "white",
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"scene": {
"xaxis": {
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"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
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"ticks": "",
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"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
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},
"bgcolor": "#E5ECF6",
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},
"title": {
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"ticks": "",
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"fig = px.line(df, x=df.index, y=\"close\", title=f\"Raw Closing Price Data for {SYMBOL}\")\n",
"fig.show()"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [],
"source": [
"# Plot a subset of technical indicators\n",
"for indicator in selected_features:\n",
" if indicator in df.columns and indicator != \"close\":\n",
" fig = px.line(df, x=df.index, y=indicator, title=f\"{indicator} Indicator for {SYMBOL}\")\n",
" fig.show()"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
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"source": [
"# Define the list of indicators you want to test\n",
"indicators = [\"rsi_14\", \"macd\", \"stoch_%K\", \"bollinger_bands\", \"ema_50\", \"sma_200\"] # Add more indicators as needed\n",
"\n",
"# Plot a subset of technical indicators\n",
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" fig.show()\n",
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},
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",
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
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",
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# Autocorrelation & Partial Autocorrelation (ACF & PACF)\n",
"def plot_acf_pacf(series, lags=30):\n",
" fig = sm.graphics.tsa.plot_acf(series.dropna(), lags=lags)\n",
" fig.show()\n",
" fig = sm.graphics.tsa.plot_pacf(series.dropna(), lags=lags)\n",
" fig.show()\n",
"\n",
"plot_acf_pacf(df[\"close\"])"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {},
"outputs": [
{
"data": {
"application/vnd.plotly.v1+json": {
"config": {
"plotlyServerURL": "https://plot.ly"
},
"data": [
{
"line": {
"color": "red"
},
"name": "Rolling Mean",
"type": "scatter",
"x": [
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"2024-09-15T04:00:00",
"2024-09-15T08:00:00",
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" fig = go.Figure()\n",
" fig.add_trace(go.Scatter(x=series.index, y=series.rolling(window).mean(), name=\"Rolling Mean\", line=dict(color='red')))\n",
" fig.add_trace(go.Scatter(x=series.index, y=series.rolling(window).std(), name=\"Rolling Std Dev\", line=dict(color='blue')))\n",
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"\n",
"ADF Statistic: -1.866096850060274\n",
"p-value: 0.3481743770195106\n",
"The series is likely non-stationary.\n"
]
}
],
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"def adf_test(series):\n",
" result = adfuller(series.dropna())\n",
" print(\"\\nADF Statistic:\", result[0])\n",
" print(\"p-value:\", result[1])\n",
" if result[1] < 0.05:\n",
" print(\"The series is likely stationary.\")\n",
" else:\n",
" print(\"The series is likely non-stationary.\")\n",
"\n",
"adf_test(df[\"close\"])"
]
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"EDA Completed for BTCUSD! Use these insights to refine feature engineering and model selection.\n"
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}
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"source": [
"# Lagged Features Correlation Matrix\n",
"def plot_lagged_correlation(df, col=\"close\", max_lag=10):\n",
" lagged_df = pd.DataFrame({f\"lag_{i}\": df[col].shift(i) for i in range(1, max_lag+1)})\n",
" lagged_df[\"original\"] = df[col]\n",
" corr_matrix = lagged_df.corr()\n",
" fig = px.imshow(corr_matrix, text_auto=True, title=\"Correlation Matrix of Lagged Features\")\n",
" fig.show()\n",
"\n",
"plot_lagged_correlation(df, col=\"close\")\n",
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"print(f\"EDA Completed for {SYMBOL}! Use these insights to refine feature engineering and model selection.\")"
]
}
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