AI - Predict S&P 500 after Clustering - Data until September 04, 2024 (in 5 years), include AEE, AEP, AES, ATO, AWK, BAX, BF-B, CMS, CNP, D, DTE, DUK, ED, EIX, ES, ETR, EVRG, EXC, FE, LNT, NEE, NI, PEG, PNW, PPL, SO, SRE, WEC, XEL

Stock price values can be predicted from past price data? 

Yes, Principal component analysis (PCA) identifies a small number of principle components that explain most of the variation in stock dataset. This method is often used for dimensionality reduction and analysis of the data.

PCA does reduce from 7 dimensional space of the S&P 500 stocks ( 'Date', 'Adj Close', 'Close', 'High', 'Low', 'Open', 'Volume' ), into 2 dimensional space ( 'principal component 1', 'principal component 2' ).

The 29 stocks are:

Cluster 14: AEE, AEP, AES, ATO, AWK, BAX, BF-B, CMS, CNP, D, DTE, DUK, ED, EIX, ES, ETR, EVRG, EXC, FE, LNT, NEE, NI, PEG, PNW, PPL, SO, SRE, WEC, XEL

What is Principal component analysis (PCA)?

Principal component analysis (PCA) is a linear dimensionality reduction technique with applications in exploratory data analysis, visualization and data preprocessing.

The data is linearly transformed onto a new coordinate system such that the directions (principal components) capturing the largest variation in the data can be easily identified.

We got 91 clusters with the data of 493 stocks of S&P 500 - Variation = ∑(Close - Low)

Cluster 1: A, BIO, CRL, DHR, IQV, MTD, RVTY, TECH, TMO, WAT

Cluster 2: ADM, BG

Cluster 3: ADP, BR, CSCO, CSGP, EL, JNPR, MNST, MSI, PAYX, TMUS, VRSN

Cluster 4: AMAT, AMD, KLAC, LRCX, MPWR, MU, NTAP, QCOM, STX, TER, TSLA, WDC

Cluster 5: ALLE, AME, AOS, CTAS, EMR, FAST, FTV, GPC, GRMN, HON, IEX, J, JCI, ROK, ROP, SNA, WAB, XYL

Cluster 6: AMT, CCI, DLR, EQIX, SBAC

Cluster 7: AXON

Cluster 8: AZO, ORLY

Cluster 9: BAC, BK, C, GS, JPM, MS, NTRS, STT, WFC

Cluster 10: BIIB

Cluster 11: CAT, CMI, DE, GWW, PCAR, URI

Cluster 12: CCL, NCLH, RCL

Cluster 13: CHTR, CMCSA, INTC

Cluster 14: AEE, AEP, AES, ATO, AWK, BAX, BF-B, CMS, CNP, D, DTE, DUK, ED, EIX, ES, ETR, EVRG, EXC, FE, LNT, NEE, NI, PEG, PNW, PPL, SO, SRE, WEC, XEL

Cluster 15: APA, BKR, COP, CTRA, CVX, DVN, EOG, EQT, FANG, HAL, HES, MRO, OXY, SLB, TRGP, XOM

Cluster 16: CAH, COR, CVS, MCK

Cluster 17: CTVA, FMC

Cluster 18: AXP, COF, DFS, SYF

Cluster 19: DG, DLTR

Cluster 20: AVY, CBRE, DOV, IBM, ITW, LKQ, MAS, NDSN, PNR

Cluster 21: DPZ

Cluster 22: DVA

Cluster 23: EA, TTWO

Cluster 24: EBAY

Cluster 25: APD, BALL, ECL, IFF, MMM

Cluster 26: CI, CNC, ELV, HUM, MOH, UNH

Cluster 27: BWA, CE, DD, DOW, EMN, LYB, MHK, PPG

Cluster 28: ALB, ENPH, GNRC

Cluster 29: APH, DECK, ETN, GE, HUBB, HWM, IR, IRM, JBL, KKR, NRG, PH, PWR, TDG, TT

Cluster 30: F, GM

Cluster 31: FOX, FOXA

Cluster 32: BXP, FRT, KIM, REG, SPG, VICI

Cluster 33: FSLR

Cluster 34: GEN

Cluster 35: AKAM, CPAY, FI, FIS, GPN, HAS, JKHY

Cluster 36: BBY, HD, KMX, LOW, NKE, POOL, RMD, SHW, TGT, TSCO

Cluster 37: CBOE, CME, ICE, NDAQ

Cluster 38: INCY

Cluster 39: IP, PKG

Cluster 40: IPG, OMC

Cluster 41: JBHT, ODFL

Cluster 42: ABBV, ABT, AMGN, BDX, BMY, GILD, JNJ, MRK, PFE

Cluster 43: CAG, CPB, GIS, HRL, K, KHC, MKC, SJM

Cluster 44: CFG, FITB, HBAN, KEY, MTB, PNC, RF, SCHW, TFC, USB

Cluster 45: KMI, OKE, WMB

Cluster 46: KR

Cluster 47: ACGL, AIZ, ALL, AMCR, CB, CINF, EG, HIG, HSIC, L, SYY, TRV, TSN, WRB

Cluster 48: DGX, HOLX, LH

Cluster 49: GD, HII, LDOS, LHX, LMT, NOC, RTX

Cluster 50: DIS, MA, TDY, V

Cluster 51: BKNG, DRI, EXPE, HLT, HST, LYV, MAR

Cluster 52: KDP, MCD, SBUX, YUM

Cluster 53: ADI, MCHP, NXPI, ON, PTC, QRVO, SWKS, TXN, ZBRA

Cluster 54: EFX, FDS, MCO, MSCI, SPGI, VRSK, ZTS

Cluster 55: MKTX

Cluster 56: AJG, AON, BRO, LIN, MMC, WTW

Cluster 57: CF, MOS

Cluster 58: MRNA

Cluster 59: AAPL, ACN, ADBE, AMZN, ANSS, BX, COST, CRM, DXCM, FTNT, GDDY, GOOG, GOOGL, IDXX, INTU, ISRG, LULU, META, MSFT, NFLX, NOW, ORCL, TYL, WST

Cluster 60: NEM

Cluster 61: CSX, NSC, UNP

Cluster 62: FCX, NUE, STLD

Cluster 63: ANET, AVGO, CMG, LLY, NVDA, SMCI, VST

Cluster 64: NWS, NWSA

Cluster 65: ADSK, CTLT, DAY, EPAM, PAYC, PODD

Cluster 66: PCG

Cluster 67: CHD, CL, CLX, HSY, KMB, KO, MDLZ, PEP, PG, STZ, TAP, WMT

Cluster 68: BLDR, DHI, LEN, NVR, PHM

Cluster 69: AFL, AIG, AMP, BRK-B, GL, MET, PFG, PRU, RJF, TXT

Cluster 70: EXR, PSA

Cluster 71: ALGN, CZR, ETSY, MTCH, PYPL

Cluster 72: ROST, TJX, ULTA

Cluster 73: PGR, ROL, RSG, WM

Cluster 74: CDNS, CPRT, CRWD, FICO, IT, PANW, SNPS

Cluster 75: BSX, COO, EW, MDT, STE, SYK, TFX, ZBH

Cluster 76: MO, PM, T, VZ, WBA

Cluster 77: APTV, CDW, CTSH, FFIV, GLW, HPE, HPQ, KEYS, SWK, TEL, TRMB

Cluster 78: BBWI, RL, TPR

Cluster 79: BEN, BLK, IVZ, TROW, WY

Cluster 80: AAL, BA, DAL, LUV, UAL

Cluster 81: UBER

Cluster 82: ARE, AVB, CPT, DOC, EQR, ESS, INVH, MAA, PLD, UDR

Cluster 83: HCA, UHS

Cluster 84: CHRW, EXPD, FDX, UPS

Cluster 85: MPC, PSX, VLO

Cluster 86: MLM, VMC

Cluster 87: REGN, VRTX

Cluster 88: VTRS

Cluster 89: PARA, WBD

Cluster 90: LW, O, VTR, WELL

Cluster 91: LVS, MGM, WYNN

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What is S&P 500?

The Standard and Poor's 500, or simply the S&P 500, is a stock market index tracking the stock performance of 503 of the largest companies listed on stock exchanges in the United States

]

My services: Predict and more detail in each group/cluster, between each cluster/group or do predict in number of stock codes or do predict in any stock data from any stock market, (US, Hong Kong, Singapore, Japan, London, Korea) .

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Predict S&P 500 after Clustering - Data until September 04, 2024 (in 5 years), include 

AEE, AEP, AES, ATO, AWK, BAX, BF-B, CMS, CNP, D, DTE, DUK, ED, EIX, ES, ETR, EVRG, EXC, FE, LNT, NEE, NI, PEG, PNW, PPL, SO, SRE, WEC, XEL