AI - Clustering and Visualizing S&P 500 in 5 years with Variation = ∑(Close - Open) - Data until September 06, 2024

 

This clustering and visualizing of S&P 500 stocks use several unsupervised learning techniques, (Affinity Propagation clustering, Manifold learning techniques ..), to extract the stocks of S&P 500 from variations of close and open prices in historical quotes.

The quantity that we use is the daily variation, 1319 trading days in 5 years, in quote price: quotes that are linked tend to fluctuate in relation to each other during a day.

Variation is calculated by:

close_prices = np.vstack([q["Close"] for q in quotes], casting="same_kind")

open_prices = np.vstack([q["Open"] for q in quotes], casting="same_kind")

variation = close_prices - open_prices

The data? can get the some of them from

https://raw.githubusercontent.com/ThomasTrungVo/public/main/SP500/sp500_stocks_last62_until20240719.csv

We got 100 clusters with the data of 493 stocks of S&P 500 - Variation = ∑(Close - Open)

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

Cluster 2: ABT, BAX, BDX, RMD

Cluster 3: ADM, BG

Cluster 4: AMGN, GILD

Cluster 5: AMT, CCI, DLR, EQIX, SBAC

Cluster 6: AXON

Cluster 7: AZO, ORLY

Cluster 8: BAC, BK, C, GS, JPM, MS, NTRS, SCHW, STT, WFC

Cluster 9: BEN, IVZ, TROW, WBA

Cluster 10: BIIB

Cluster 11: ABBV, BMY, MRK, PFE

Cluster 12: BLK, BX, EL, KKR

Cluster 13: CAT, CMI, DE, FCX, PCAR, URI

Cluster 14: ACGL, AIZ, CB, CINF, EG, HIG, TRV, WRB

Cluster 15: CCL, NCLH, RCL

Cluster 16: CFG, FITB, HBAN, KEY, MTB, PNC, RF, TFC, USB

Cluster 17: CHTR, CMCSA

Cluster 18: AXP, COF, DFS, SYF, SYY

Cluster 19: CAH, COR, CVS, MCK

Cluster 20: CSCO, FFIV, IBM, JNPR

Cluster 21: CTVA, FMC

Cluster 22: AAL, DAL, LUV, UAL

Cluster 23: DG, DLTR

Cluster 24: ALLE, AME, AOS, CDW, DOV, EMR, FAST, FTV, GPC, GWW, HAS, HON, IEX, ITW, J, JCI, LKQ, MMM, NDSN, PH, PNR, PPG, ROK, SNA, SWK, TDY, WAB, XYL

Cluster 25: DPZ

Cluster 26: EA, TTWO

Cluster 27: EBAY

Cluster 28: APD, BALL, ECL, IFF, LIN

Cluster 29: CI, CNC, ELV, HUM, MOH, UNH

Cluster 30: AMCR, CE, DD, DOW, EMN, GLW, LYB, MHK

Cluster 31: ENPH, FSLR, GNRC, TSLA

Cluster 32: ETN, HUBB, IR, PWR, TT

Cluster 33: EXR, PLD, PSA

Cluster 34: FOX, FOXA

Cluster 35: BXP, FRT, KIM, O, REG, SPG, WY

Cluster 36: GEN

Cluster 37: CAG, CPB, GIS, HRL, K, KHC, MKC, SJM

Cluster 38: APTV, BWA, F, GM

Cluster 39: DVA, HCA, UHS

Cluster 40: BBY, HD, KMX, LOW, MAS, NKE, POOL, SHW, TGT, TSCO

Cluster 41: HPE, HPQ, NTAP

Cluster 42: HSIC

Cluster 43: BA, GE, HWM, TDG

Cluster 44: CBOE, CME, ICE, MKTX, NDAQ

Cluster 45: ALGN, CTLT, IDXX, WST, ZTS

Cluster 46: IPG, OMC

Cluster 47: JBHT, ODFL

Cluster 48: AMAT, AMD, ANET, APH, AVGO, DECK, JBL, KLAC, LRCX, MPWR, NVDA, QCOM, SMCI, SNPS, TER

Cluster 49: KMI, OKE, WMB

Cluster 50: KR

Cluster 51: DGX, HOLX, LH

Cluster 52: LLY

Cluster 53: GD, HII, LDOS, LHX, LMT, NOC, RTX

Cluster 54: AEE, AEP, AES, ATO, AWK, CMS, CNP, D, DTE, DUK, ED, EIX, ES, ETR, EVRG, EXC, FE, LNT, NEE, NI, PEG, PNW, PPL, SO, SRE, WEC, XEL

Cluster 55: LW

Cluster 56: CPAY, DIS, FI, FIS, GPN, MA, V

Cluster 57: BKNG, EXPE, HLT, HST, MAR

Cluster 58: ADI, ALB, INTC, KEYS, MCHP, NXPI, ON, QRVO, SWKS, TEL, TRMB, TXN, ZBRA

Cluster 59: EFX, FDS, MCO, MSCI, SPGI, VRSK

Cluster 60: CZR, DRI, LVS, LYV, MGM, UBER, WYNN

Cluster 61: AJG, AON, BRO, CTAS, MMC, MSI, ROP, WTW

Cluster 62: MO, PM

Cluster 63: CF, MOS

Cluster 64: MRNA

Cluster 65: APA, BKR, COP, CTRA, CVX, DVN, EOG, EQT, FANG, HAL, HES, MRO, OXY, SLB, TRGP, XOM

Cluster 66: AAPL, ACN, ADBE, AKAM, AMZN, ANSS, CDNS, COST, CPRT, GOOG, GOOGL, INTU, LULU, META, MSFT, NFLX, ORCL, VRSN

Cluster 67: NEM

Cluster 68: ADSK, CMG, CRM, CRWD, EPAM, FICO, FTNT, GDDY, IT, NOW, PANW, PTC, PYPL, TYL

Cluster 69: NRG, VST

Cluster 70: CSX, NSC, UNP

Cluster 71: NUE, STLD

Cluster 72: NWS, NWSA

Cluster 73: CSGP, DAY, ETSY, MTCH, PAYC

Cluster 74: ADP, BR, CTSH, JKHY, PAYX

Cluster 75: PCG

Cluster 76: BF-B, HSY, KDP, KO, MDLZ, MNST, PEP, STZ, WMT

Cluster 77: CHD, CL, CLX, JNJ, KMB, PG

Cluster 78: ALL, PGR

Cluster 79: BLDR, DHI, LEN, NVR, PHM

Cluster 80: AVY, IP, PKG

Cluster 81: DXCM, PODD

Cluster 82: AFL, AIG, AMP, BRK-B, CBRE, GL, L, MET, PFG, PRU, RJF, TXT

Cluster 83: ROST, TJX, ULTA

Cluster 84: BSX, COO, EW, ISRG, MDT, STE, SYK, TFX, ZBH

Cluster 85: TAP

Cluster 86: TMUS

Cluster 87: BBWI, RL, TPR

Cluster 88: TSN

Cluster 89: ARE, AVB, CPT, DOC, EQR, ESS, INVH, IRM, MAA, UDR

Cluster 90: CHRW, EXPD, FDX, UPS

Cluster 91: MPC, PSX, VLO

Cluster 92: MLM, VMC

Cluster 93: INCY, REGN, VRTX

Cluster 94: VICI, VTR, WELL

Cluster 95: VTRS

Cluster 96: T, VZ

Cluster 97: PARA, WBD

Cluster 98: MU, STX, WDC

Cluster 99: ROL, RSG, WM

Cluster 100: MCD, SBUX, YUM

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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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Visualizing of 493 Stocks of S&P 500 in 5 years (1319 trading days) with variation is summation(Close prices - Open prices)