AI - Clustering and Visualizing S&P 500 in 5 years with Variation = ∑(High - Low) - Data until September 05, 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 high and low prices in historical quotes.

The quantity that we use is the daily variation, 1318 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:

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

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

variation = high_prices - low_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 94 clusters with the data of 493 stocks of S&P 500 - Variation = ∑(High - Low)

Cluster 1: A, AMD, CSCO, ICE, TGT

Cluster 2: AAPL, HCA, JBHT, MGM

Cluster 3: ABT, AIZ, EXPE, PH, TSN, TXN

Cluster 4: AFL, BRK-B, MKTX, TDY

Cluster 5: AMAT, KLAC, LRCX, MPWR, PEG

Cluster 6: AZO, GM, KIM, OKE

Cluster 7: BBWI, CMG, EQIX, K, POOL, ROL, VICI

Cluster 8: BLDR, CHD, LULU, LYV, VLO

Cluster 9: AMZN, BXP, EBAY, TPR, VTRS

Cluster 10: CAT, PFG, TRMB, TROW

Cluster 11: ADI, AMT, CCI, QCOM, SBAC

Cluster 12: CCL, NCLH

Cluster 13: CMI, PNR, SHW, STZ, XYL, ZTS

Cluster 14: AEE, AEP, ALL, ATO, AWK, BAC, CMS, D, DTE, DUK, ED, ES, ETR, EVRG, LNT, NI, PNW, PPL, SO, WEC, XEL

Cluster 15: COF, DFS, SYF, TRGP

Cluster 16: ABBV, CPB, MKC, NTRS

Cluster 17: BSX, CRWD, DLR, EFX, IPG, REGN

Cluster 18: CSX, DPZ, GEN, HOLX

Cluster 19: AKAM, BWA, CME, CTRA, FCX, WST

Cluster 20: ACGL, ACN, BA, BKNG, CZR, DLTR, NOC

Cluster 21: AAL, ADBE, DAL, EIX, LUV, ROST, UAL, ZBRA

Cluster 22: DECK, GNRC, MNST, NDSN, ORCL

Cluster 23: DHI, LEN, MO, PHM

Cluster 24: AVY, DOV, HAS, TEL, WBA

Cluster 25: COST, DOW, DRI, MDT

Cluster 26: ALLE, AMP, CRM, DXCM, KR

Cluster 27: AIG, DD, EPAM, TYL

Cluster 28: CRL, F, UNP

Cluster 29: FAST, HII, IP, KDP, MOH, UBER

Cluster 30: CVS, FIS, LH, MDLZ, RVTY

Cluster 31: FOX, FOXA, OMC, OXY, PPG

Cluster 32: BR, FRT, REG

Cluster 33: ANSS, APH, BDX, FTNT

Cluster 34: AON, CBRE, FTV, IRM, ULTA

Cluster 35: GOOG, GOOGL, INCY, SYY

Cluster 36: AXON, EXC, HAL, SLB, TDG

Cluster 37: CI, ELV, HON

Cluster 38: CHTR, CPRT, HPE, JNJ, MS, TECH, YUM

Cluster 39: AMGN, BX, HRL, IDXX, PFE

Cluster 40: BALL, ETN, FSLR, HIG, HUBB, MAS, WM, WTW

Cluster 41: ADSK, AXP, CHRW, FANG, GPC, IBM, URI

Cluster 42: GL, IEX, ITW, JNPR, VRSN

Cluster 43: ADM, BF-B, CBOE, CL, INTC, RCL, SWK

Cluster 44: BK, GIS, IQV, KMB, LIN, LYB, MTB, NDAQ, PODD, WRB

Cluster 45: ADP, BMY, ISRG, LLY, PANW, TFX

Cluster 46: APD, CPAY, CTVA, IT, MCHP, PG, SNA, VRSK

Cluster 47: AOS, GE, J

Cluster 48: CFG, FITB, HBAN, KEY, PNC, RF, RSG, TFC, USB

Cluster 49: ALGN, ARE, EG, KMX, RJF, TRV

Cluster 50: BAX, ENPH, L, TT

Cluster 51: HD, LDOS, LOW

Cluster 52: LVS, WYNN

Cluster 53: GDDY, HSY, HUM, LW, T

Cluster 54: BIO, GD, MA, V

Cluster 55: HLT, MAR

Cluster 56: GILD, KKR, MCO, MMM, NEM

Cluster 57: EA, META, ROP, ZBH

Cluster 58: MHK, STX, WMB

Cluster 59: CF, LKQ, MOS, MRNA

Cluster 60: APA, BIIB, C, CNP, COP, DVN, ECL, EOG, EXPD, HES, MRO

Cluster 61: AJG, MSCI

Cluster 62: FI, MTCH, MU, NXPI, ODFL, PLD

Cluster 63: ETSY, NUE, STLD

Cluster 64: ANET, AVGO, CB, NVDA, SPG, TXT

Cluster 65: APTV, BBY, NWS, NWSA

Cluster 66: CTSH, DGX, PAYC, UNH

Cluster 67: BKR, KO, PCG, PEP, UHS, VZ

Cluster 68: DIS, PKG, STE

Cluster 69: IR, MET, PRU

Cluster 70: CSGP, DVA, EXR, HWM, PSA, SJM

Cluster 71: AES, CDW, JCI, JPM, NKE, NVR, PSX, UPS

Cluster 72: ALB, EMN, MMC, NOW, PTC

Cluster 73: FFIV, MCK, PM, RL, TER

Cluster 74: AMCR, CINF, FE, IVZ, ROK

Cluster 75: CE, EQT, FDX, GRMN, JBL, NSC, ON, SBUX

Cluster 76: HSIC, MSFT, SCHW, STT, SYK

Cluster 77: CDNS, KHC, NFLX, PYPL, SNPS, TAP

Cluster 78: DAY, DG, EW, FMC, GLW, MRK, SPGI

Cluster 79: AME, DE, HPQ, KMI, SRE, VST

Cluster 80: CMCSA, NEE, NTAP, PAYX, PCAR, QRVO, SWKS, TMUS

Cluster 81: DHR, FICO, GPN, TMO

Cluster 82: RMD, TSCO

Cluster 83: EL, GWW, TSLA

Cluster 84: BG, CTLT, EMR, GS, MPC, MSI, RTX, TTWO

Cluster 85: AVB, CPT, EQR, ESS, INVH, MAA, UDR

Cluster 86: FDS, MLM, VMC

Cluster 87: BLK, PGR, SMCI, VRTX, WMT

Cluster 88: BRO, DOC, KEYS, VTR, WELL

Cluster 89: INTU, WAB

Cluster 90: CAH, IFF, JKHY, LMT, MTD, PWR, WAT

Cluster 91: CNC, ORLY, PARA, WBD

Cluster 92: CLX, COR, LHX, NRG, O, WDC

Cluster 93: BEN, CTAS, MCD, TJX, WFC, WY

Cluster 94: CAG, COO, CVX, HST, XOM

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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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Email: ThomasTrungVo@Gmail.com

Visualizing of 493 Stocks of S&P 500 in 5 years (1318 trading days) with variation is summation(High prices - Low prices)

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