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Ralph Lauren Corporation
stock NYSE

At Close
Nov 6, 2025 3:59:55 PM EST
315.32USD-0.680%(-2.16)1,838,436
299.00Bid   314.66Ask   15.66Spread
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Nov 6, 2025 9:28:30 AM EST
324.85USD+2.321%(+7.37)73,268
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Nov 6, 2025 4:07:30 PM EST
316.07USD+0.238%(+0.75)8,190
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As of Nov 6, 2025 7:52:00 PM EST (<1 min. ago)
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7 hr ago • u/bougsamm • r/quant • deep_learning_applying_transformers_to_uncover • Machine Learning • B
**Hello all, a solo researcher here starting a new deep learning idea and looking for feedbacks!**
# Context:
I am working on the application of transformer architectures to financial market microstructure. A work where such architectures are applied to financial market data has been proposed in a paper from Xavier Gabaix (asset embeddings : [https://papers.ssrn.com/sol3/papers.cfm?abstract\_id=4507511](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4507511) ). He modeled assets in a portfolio as tokens and applied a Masked Modeling task to learn how similar assets are and what are the hidden rules behind portfolios' construction (this hidden rule being the CLS token aka a large dense vector).
# My Idea:
I would like to apply a similar approach but for a different goal: learning latent representations of trading strategies from limit order book dynamics.
**The Core Approach:**
Instead of working with real market data where participant/strategies attribution is unavailable, I'll use agent-based simulation to generate training data with perfect truth labels. Here's the draft workflow:
1. **Simulation Environment**: Build a realistic limit order book simulator with 100+ distinct trading strategies ranging from simple to sophisticated.
2. **Data Generation**: Run massive multi-agent simulations where each strategy type is represented by multiple agents. Generate millions of order sequences with associated labels: each order is tagged with which strategy generated it.
3. **Transformer Training**: Treat sequences of orders (or patches of orders) as tokens. The model learns to predict: given a sequence of orders from the limit order book, which strategy type generated each sub-sequence? The model predict among the N strategies which are the most likely. But what we're also looking for tis the last hidden state as this vector represents the strategic context for this order in the sequence.
**The Dual Objectives:**
* **Strategy Embedding Space**: By predicting which strategy generated each order sequence, the model learns to project different trading strategies into a high-dimensional embedding space. Similar strategies should cluster together, while distinct should be separated.
* **Unsupervised Discovery in Real Markets**: Once trained on synthetic data with known strategies, apply the model to real market data. This could be validated through cluster stability, or financial interpretability.
# The Objectives:
Using this approach, the goals are:
* **Real Market Analysis**: Apply the trained model to real LOB data to discover what types of strategic behaviors dominate order books at different times, even without knowing participant identities. For example: "Currently 60% market-maker behavior, 25% momentum trading, 15% execution algorithms."
* **Predictive Trading Signals**: If I can identify which strategy archetypes are active in the current market state, I can predict likely market responses. For instance: "Given high momentum-trader activity, expect front-running on large orders" or "Market-maker dominated environment suggests favorable conditions for passive execution."
* **Strategy Approximation**: Once I have learned embeddings for various strategy types, I can potentially approximate them using more interpretable rule-based algorithms (via RL or inverse reinforcement learning), enabling better understanding of what makes certain strategies successful.
# Limitations and Challenges:
I've identified several key challenges:
* **Simulation Realism**: The biggest risk is that synthetic markets don't capture real market dynamics.
* **No Ground Truth in Real Data**: I cannot validate "my model correctly identified that Firm X used Strategy Y" on real data.
* **Sequence Length**: Order books can contain thousands of orders, creating computational challenges for transformer models. I'll explore hierarchical tokenization (time-bucketed snapshots rather than individual orders) and sparse attention mechanisms or state-space models for long sequence handling.
* **Strategy Complexity**: Real trading strategies incorporate many signals beyond order book state. My approach focuses on the order-book-observable component of strategies, which is a subset of complete strategy logic but still valuable.
# Questions:
Given this approach, I would like your feedback and thoughts on:
* **Time Horizons**: Should I focus on sub-second strategies (true HFT), second-to-minute strategies (high-frequency), or longer intraday strategies? I'm leaning toward 1-30 minute holding periods as they likely depend more on observable order book patterns and less on latency/co-location advantages, making them more learnable from simulation.
* **Training Window**: For real data validation, what time horizon should I use? I'm thinking 1-2 week rolling windows for training, but testing on holdout periods 1-3 months later to check for strategy drift and temporal stability.
* **Strategy Design**: What mix of strategy sophistication?
* **Validation Metrics**: Beyond predictive power and cluster stability, what other validation approaches would be convincing without ground truth attribution?
**Thanks a lot for your time if you're reading this!**
sentiment 1.00
13 hr ago • u/Robot_of_Sherwood • r/RobinHood • daily_discussion_thread_november_6th_2025 • C
# Today is Thursday, the 6th of November
## Upcoming events for Thursday, November 6th
- Stock splits:
- AUHIF @ **1:10**
- BABYF @ **1:10**
- Expected earnings:
AACG, AAOI, AAON, ABCL, ABL, ABNB, ACFN, ACHR, ACHV, ACIW, ACLX, ADV, AFRM, AGO, AHL, AHR, AKAM, ALDX, ALG, ALGS, ALLO, ALRM, ALT, ALTG, AMBQ, AMLX, AMN, AMPH, AMPX, AMR, AMRK, AMTX, AOMR, AORT, APD, APLT, APPN, APRE, APVO, APYX, ARHS, ARL, ARLO, ASLE, ASMB, ASPN, ASTH, ATHA, ATHM, ATLC, ATUS, ATYR, AUUD, AVAH, AVIR, AVPT, AVTX, AZN, BAER, BAK, BAP, BBDC, BBDO, BBU, BCAB, BCE, BCIC, BDX, BFS, BGC, BHF, BILL, BIOA, BIRD, BJDX, BKD, BKSY, BKTI, BL, BLFS, BLMN, BLND, BLNK, BLZE, BOLD, BRFH, BRT, BRY, BSLK, BZFD, CABO, CARG, CARL, CARS, CC, CCCC, CCLD, CCO, CCOI, CCRN, CDTX, CDXS, CE, CELH, CENX, CERS, CERT, CGEM, CHCI, CHMI, CHRS, CIA, CIM, CING, CIO, CION, CIVI, CLAR, CLFD, CLPR, CLPT, CMBM, CMBT, CMRC, CNQ, CNR, CNTY, COLD, COLL, CON, COP, CPHC, CPK, CPSS, CPT, CRBP, CRDF, CRIS, CRNX, CRON, CTLP, CTMX, CTRM, CVKD, DBX, DCO, DD, DDOG, DH, DIOD, DKNG, DMLP, DNA, DNN, DNTH, DNUT, DOCS, DRCT, DRH, DRIO, DSGN, DTI, DWTX, DXPE, EB, EBR, EBR.B, ED, EDAP, EFXT, ELUT, EMX, ENOV, EOG, EPAM, ESPR, ETON, EVAX, EVCM, EVH, EVOK, EVRG, EVTC, EWTX, EXFY, EXPE, EXPI, FA, FARM, FDUS, FENC, FFAI, FG, FGBI, FIGS, FIVN, FLL, FLO, FNF, FNKO, FOUR, FOXF, FROG, G, GAU, GCT, GDEN, GEN, GEO, GHI, GLUE, GMAB, GMED, GOCO, GOGO, GOOS, GOSS, GPRO, GREE, GRND, GRNT, GROW, GRPN, GRWG, GSAT, GSBD, GVA, H, HAE, HASI, HBI, HBIO, HCI, HGBL, HIHO, HIMX, HMR, HQI, HRB, HSHP, HUN, HYFM, IBEX, IBOC, ICUI, IFS, IMA, IMNN, IMUX, INBS, INDI, INOD, INSG, INSW, INUV, IOR, IOVA, IREN, IRWD, ISOU, ISPC, IVVD, JBI, JSPR, JYNT, KELYA, KELYB, KFS, KINS, KODK, KRMN, KRO, KRP, KRT, KRUS, KVHI, LAMR, LASR, LCTX, LCUT, LDI, LFCR, LFMD, LFST, LGND, LI, LIDR, LION, LMAT, LNSR, LNT, LNTH, LOMA, LPCN, LPG, LPRO, LSPD, LSTA, LTRN, LVO, LXRX, LYEL, LYTS, MAIN, MAPS, MBX, MCFT, MCHP, MCHX, MDU, MERC, MFA, MFIC, MIDD, MKTW, MLAB, MLCO, MLTX, MNMD, MNR, MNST, MODG, MP, MRNA, MRVI, MRX, MSC, MSDL, MSGE, MSGM, MT, MTD, MTSI, MTUS, MTVA, MUX, MVO, MWA, MXC, NABL, NATH, NATR, NBY, NEPH, NFE, NHI, NKTR, NKTX, NL, NN, NNI, NODK, NOG, NOMD, NOTE, NRDS, NRDY, NRG, NSYS, NTCT, NTIP, NTLA, NTRA, NUS, NUTX, NVAX, NVMI, NWS, NWSA, NXE, NXST, NXTC, OBLG, OGN, OKUR, OLED, OLPX, OMDA, ONC, ONIT, ONL, ONTO, OPAL, OPEN, OPRX, ORGO, ORMP, OS, OSCR, OUT, OXBR, PANL, PAR, PBA, PBH, PBR, PBR.A, PBYI, PCRX, PCT, PDFS, PENN, PEPG, PGNY, PH, PHAR, PHUN, PLMR, PLNT, PLRX, PLTK, PLUS, PMVP, PODC, PODD, PRKS, PRMB, PRQR, PRTA, PRTH, PRVA, PSHG, PSIX, PSQH, PTGX, PTON, PX, PZZA, QBTS, QNRX, QNST, QTTB, QXO, RAPP, RAVE, RBA, RC, RCEL, RCKT, RCMT, REFR, REI, RGNX, RL, RLAY, RLMD, RLYB, RNA, RNAC, ROK, RPTX, RUN, RWAY, RXO, RXT, RZLT, SATS, SAVA, SBDS, SCM, SCSC, SEAT, SEER, SG, SGA, SGHT, SGI, SGMO, SIGA, SKIN, SKLZ, SKYE, SLQT, SMR, SN, SNDK, SOLS, SOLV, SOUN, SRTS, SSP, STEP, STGW, STKS, STNE, STRA, STRW, STVN, SUZ, SVM, SYNA, TAC, TBCH, TBRG, TCI, TCPC, TCX, TE, TEAD, TECX, TFX, TGLS, TGNA, TH, THAR, THM, THR, TIGO, TKC, TKNO, TMCI, TNDM, TPR, TRC, TRIP, TRMD, TRP, TRUP, TSE, TTD, TTEC, TTWO, TWI, TWNP, TXG, TXRH, TYRA, UA, UAA, UEIC, UHG, UMAC, UPB, UPLD, URGN, USAR, USAS, USFD, UWMC, VCEL, VCTR, VEEE, VEL, VERA, VERI, VHI, VOC, VOR, VST, VSTA, VTEX, VTGN, VTRS, VTYX, VYNE, VYX, WBD, WD, WEST, WHLR, WLDN, WMS, WPM, WRBY, WRN, WSC, WW, WYNN, XERS, XLO, XOMA, XPOF, XRAY, XYZ, YELP, YETI, YORW, YOU, ZD, ZLAB, ZURA, ZYME
- Ex-div:
BMRC, DCOMP, FELE, FSBW, GLDY, HTBK, LVHD, NWBI, OPBK, PGC, QQQY, TRS, USOY, WFRD, WTFC, YQQQ
- Economic events and announcements:
- ADP Nonfarm Employment Change (actual: 42K, consensus: 32K, previous: -29K)
- Crude Oil Imports (actual: 0.867M, previous: -1.025M)
- Crude Oil Inventories (actual: 5.202M, consensus: -2.500M, previous: -6.858M)
- Cushing Crude Oil Inventories (actual: 0.300M, previous: 1.334M)
- Distillate Fuel Production (actual: 0.211M, previous: -0.134M)
- EIA Refinery Crude Runs (actual: 0.037M, previous: -0.511M)
- EIA Weekly Distillates Stocks (actual: -0.643M, consensus: -2.000M, previous: -3.362M)
- EIA Weekly Refinery Utilization Rates (actual: -0.6%, previous: -2.0%)
- Gasoline Inventories (actual: -4.729M, consensus: -1.100M, previous: -5.941M)
- Gasoline Production (actual: 0.241M, previous: -0.004M)
- Heating Oil Stockpiles (actual: -0.036M, previous: 0.049M)
- ISM Non-Manufacturing Business Activity (actual: 54.3, previous: 49.9)
- ISM Non-Manufacturing Employment (actual: 48.2, consensus: 47.6, previous: 47.2)
- ISM Non-Manufacturing New Orders (actual: 56.2, consensus: 51.0, previous: 50.4)
- ISM Non-Manufacturing PMI (actual: 52.4, consensus: 50.7, previous: 50.0)
- ISM Non-Manufacturing Prices (actual: 70.0, consensus: 68.0, previous: 69.4)
- MBA 30-Year Mortgage Rate (actual: 6.31%, previous: 6.30%)
- MBA Mortgage Applications (actual: -1.9%, previous: 7.1%)
- MBA Purchase Index (actual: 163.3, previous: 164.3)
- Mortgage Market Index (actual: 332.3, previous: 338.7)
- Mortgage Refinance Index (actual: 1,290.8, previous: 1,327.8)
- S&P Global Composite PMI (actual: 54.6, consensus: 54.8, previous: 53.9)
- S&P Global Services PMI (actual: 54.8, consensus: 55.2, previous: 54.2)
- U.S. President Trump Speaks
## Upcoming events for Friday, November 7th
- Stock splits:
- MFMLF @ **1:10**
- RAY @ **1:16**
- Expected earnings:
ACRE, AD, AIRS, ALXO, AMCX, ANIP, AQN, ASIX, ATMU, AXL, BAM, BEN, BIP, CEG, CGC, CLLS, CLMT, CNDT, CNH, CTEV, DCBO, DIBS, DK, DKL, DUK, DV, EMA, ENB, ESNT, EXK, FGMC, FLGT, FLR, FUN, GHM, GLP, GLTO, GTN, GTN.A, HAIN, HE, HLLY, KKR, KOP, MKTX, MMI, MOGO, PWP, RAND, RPID, SHG, SHO, SLVM, SNWV, TASK, TDS, TU, VSAT, WEN
- Ex-div:
ARLP, BPRN, CFFN, CMCO, FRAF, FRBA, FRST, HOPE, JBHT, MMLP, PAYX, PCB, PNFP, RELL, SFBC, SHEN, TECTP, WSFS
- Economic events and announcements:
- 4-Week Bill Auction (previous: 3.910%)
- 8-Week Bill Auction (previous: 3.890%)
- Atlanta Fed GDPNow (consensus: 4.0%, previous: 4.0%)
- Challenger Job Cuts (previous: 54.064K)
- FOMC Member Williams Speaks
- Fed Vice Chair for Supervision Barr Speaks
- Fed Waller Speaks
- Fed's Balance Sheet (previous: 6,587B)
- Natural Gas Storage (consensus: 34B, previous: 74B)
- Reserve Balances with Federal Reserve Banks (previous: 2.828T)
## Upcoming events for Saturday, November 8th
- Economic events and announcements:
- Consumer Credit (consensus: 10.00B, previous: 0.36B)
- FOMC Member Williams Speaks
- Fed Governor Jefferson Speaks
- Michigan 1-Year Inflation Expectations (previous: 4.6%)
- Michigan 5-Year Inflation Expectations (previous: 3.9%)
- Michigan Consumer Expectations (consensus: 50.3, previous: 50.3)
- Michigan Consumer Sentiment (consensus: 54.0, previous: 53.6)
- Michigan Current Conditions (consensus: 59.2, previous: 58.6)
- NY Fed 1-Year Consumer Inflation Expectations (previous: 3.4%)
- U.S. Baker Hughes Oil Rig Count (previous: 414)
- U.S. Baker Hughes Total Rig Count (previous: 546)
^^^^2025-11-06
sentiment 0.91
1 day ago • u/Sell_The_team_Jerry • r/gme_meltdown • save_the_korean_guy_dont_actually_save_him_but_do • C
Just tell him to sign up for the RL Squid Games. In fact, I'd bet we could organize one and get the apes from across the globe to partake for our entertainment
sentiment 0.47
2 days ago • u/Robot_of_Sherwood • r/RobinHood • daily_discussion_thread_november_5th_2025 • C
# Today is Wednesday, the 5th of November
## Upcoming events for Wednesday, November 5th
- Stock splits:
- BMXC @ **1:800**
- IPST @ **1:20**
- Expected earnings:
AAUC, ABUS, ACAD, ACB, ACET, ACHC, ACIC, ACMR, ACRS, ACT, ACTG, ACVA, ADMA, ADNT, ADPT, AEE, AEVA, AG, AIMD, AIN, AKA, ALB, ALEC, ALIT, ALL, ALNT, ALTO, AMC, AMCR, AMPL, AMPY, AMSC, ANIK, AOSL, APA, APP, APT, AQST, ARAY, ARCB, ARKO, ARM, ARQ, ARRY, ARVN, ASC, ASTE, ATNI, ATO, ATS, AUST, AVA, AVNS, AVNT, AWR, BALY, BATRA, BATRK, BBSI, BCO, BEP, BEPC, BG, BGS, BGSF, BKH, BMBL, BORR, BRLT, BRNS, BROS, BSY, BTG, BTMD, BUR, BWMN, CAI, CAPL, CCJ, CCRN, CCSI, CCU, CDLX, CF, CG, CHH, CHT, CHYM, CIX, CLDT, CLDX, CMTG, CNK, CNMD, CNTX, CODI, COHR, COOK, COR, COTY, COYA, CPAY, CPRX, CRBU, CRH, CRL, CSGS, CSV, CTKB, CTRE, CTRI, CVRX, CW, CWAN, CXT, CXW, CYN, CYTK, DASH, DBD, DDL, DIN, DLX, DNLI, DNOW, DOCN, DT, DUOL, DVAX, DVN, ECOR, ECPG, EE, EFC, EHAB, EHTH, ELA, ELAN, ELF, ELP, ELPC, EMR, ENS, ENVX, EOLS, EOSE, EPSN, EQX, ERII, ESTA, ET, EVO, EYE, EYPT, FAT, FATBB, FC, FCUV, FICO, FIG, FIS, FLOC, FRGE, FRPH, FRSH, FSK, FSLY, FSM, FTDR, FTNT, FTRE, FVRR, FWONA, FWONK, FWRD, GBIO, GCMG, GEF, GEF.B, GERN, GFL, GHLD, GIB, GLIBA, GLIBK, GLPG, GNK, GNL, GNW, GOLF, GPMT, GPRE, GPRK, GSM, HBB, HCC, HDSN, HEPS, HIPO, HL, HLF, HMC, HNST, HOOD, HPK, HPP, HRTG, HST, HUBS, HUM, IBP, IEP, IMCR, INFA, INGN, INMD, INSE, INTT, INVA, IONQ, IPAR, IPI, IRBT, IRM, IRS, JANX, JAZZ, JCI, JLL, JOBY, KAR, KE, KLXE, KMPR, KMT, KNTK, KRNT, KROS, KVYO, KW, LAND, LAW, LBRDA, LBRDK, LCID, LENZ, LEU, LILA, LILAK, LINE, LIVN, LLYVA, LLYVK, LMND, LND, LNW, LOPE, LPX, LRMR, LSAK, LTBR, LTM, LTRX, LYFT, LZ, MATV, MCD, MCK, MCRB, MET, MGEE, MGNI, MIAX, MKSI, MLR, MNKD, MNTK, MQ, MRAM, MRCC, MTRX, MTW, MUR, MXCT, MYO, NAMS, NATL, NC, NDLS, NEON, NFG, NGVT, NHTC, NLOP, NTR, NVO, NWN, NXDR, NYT, OBDC, OC, OCGN, ODP, OESX, OR, OSS, OSUR, OTEX, OTF, PAA, PACB, PAGP, PAHC, PAYC, PAYO, PCOR, PCSA, PEB, PEN, PETS, PFGC, PKOH, PKST, PLSE, PLYM, PNTG, POWI, PPL, PR, PRAX, PRCH, PRGO, PRI, PRLD, PRPO, PRSU, PSBD, PSN, PTC, PTRN, QCOM, QDEL, QSI, QTWO, QVCGA, RAL, RAMP, RDVT, RDW, RELY, REPX, REZI, RGLD, RGR, RLJ, RM, ROOT, RPRX, RVMD, RXRX, RXST, RYN, SABR, SABS, SACH, SAFE, SBGI, SBRA, SCNX, SCYX, SD, SDGR, SDHC, SDRL, SEDG, SEMR, SENEA, SENEB, SENS, SES, SEZL, SFL, SHOO, SII, SITC, SITM, SKYT, SLDE, SLF, SLNG, SMA, SMG, SMRT, SNAP, SNBR, SONO, SPT, SRAD, SRDX, SRE, SRI, SRZN, SST, STAA, STE, STKL, SUN, SVC, SVCC, SWX, TALO, TBLA, TECH, TEVA, TGB, TKO, TLN, TM, TNYA, TOMZ, TPB, TPC, TPL, TPVG, TRGP, TRIN, TRMB, TRNO, TROX, TRUE, TRVI, TTAM, TWIN, U, UBCP, UHAL, UHAL.B, UIS, ULCC, UNB, UP, USAC, USPH, VAC, VECO, VET, VGZ, VIR, VMD, VOXR, VSH, WBX, WHWK, WK, WTI, WTM, WTS, WWW, XNCR, XPEL, XPER, ZBH, ZIP, ZVIA, ZVRA
- Ex-div:
ALTY, AMAL, AMDU, DUKH, EFAS, ETHI, FEAT, FIVY, HFWA, HIMY, HOOI, KRNY, MST, NBBK, NFBK, ONBPO, ONBPP, ORRF, PLT, QDTY, QLDY, RDTY, SDTY, SIRI, SMCC, SRET, UVSP, WTBA
- Economic events and announcements:
- API Weekly Crude Oil Stock (actual: 6.500M, consensus: -2.400M, previous: -4.000M)
- FOMC Member Bowman Speaks
- IBD/TIPP Economic Optimism (actual: 43.9, consensus: 48.1, previous: 48.3)
- OPEC Crude Oil Production Algeria (Barrel) (actual: 0.96M, previous: 0.96M)
- OPEC Crude Oil Production Congo (Barrel) (actual: 0.26M, previous: 0.26M)
- OPEC Crude Oil Production Gabon (Barrel) (actual: 0.23M, previous: 0.23M)
- OPEC Crude Oil Production Guinea (Barrel) (actual: 0.06M, previous: 0.05M)
- OPEC Crude Oil Production Kuwait (Barrel) (actual: 2.52M, previous: 2.52M)
- OPEC Crude Oil Production Libya (Barrel) (actual: 1.25M, previous: 1.29M)
- OPEC Crude Oil Production Nigeria (Barrel) (actual: 1.53M, previous: 1.55M)
- OPEC Crude oil Production Iran (Barrel) (actual: 3.37M, previous: 3.38M)
- OPEC Crude oil Production Iraq (Barrel) (actual: 4.06M, previous: 4.01M)
- OPEC Crude oil Production Saudi Arabia (Barrel) (actual: 9.90M, previous: 9.85M)
- OPEC Crude oil Production UAE (Barrel) (actual: 3.36M, previous: 3.35M)
- OPEC Crude oil Production Venezuela (Barrel) (actual: 0.93M, previous: 0.95M)
- Redbook (actual: 5.7%, previous: 5.2%)
## Upcoming events for Thursday, November 6th
- Stock splits:
- AUHIF @ **1:10**
- BABYF @ **1:10**
- Expected earnings:
AACG, AAOI, AAON, ABCL, ABL, ABNB, ACCS, ACFN, ACHR, ACHV, ACIW, ACLX, ADV, AFRM, AGO, AHL, AHR, AIV, AKAM, ALDX, ALG, ALGS, ALLO, ALRM, ALT, ALTG, AMBQ, AMLX, AMN, AMPH, AMPX, AMR, AMRK, AMTX, AOMR, AORT, APD, APLT, APPN, APRE, APVO, APYX, ARHS, ARL, ARLO, ASLE, ASMB, ASPN, ASTH, ATHA, ATHM, ATLC, ATUS, ATYR, AUUD, AVAH, AVIR, AVPT, AVTX, AZN, BAER, BAK, BAP, BBDC, BBDO, BBU, BCAB, BCE, BCIC, BDX, BFS, BGC, BHF, BILL, BIOA, BIRD, BJDX, BKD, BKSY, BKTI, BL, BLFS, BLMN, BLND, BLNK, BLZE, BOLD, BRFH, BRT, BRY, BSLK, BZFD, CABO, CARG, CARL, CARS, CC, CCCC, CCLD, CCO, CCOI, CDTX, CDXS, CE, CELH, CENX, CERS, CERT, CGEM, CHCI, CHMI, CHRS, CIA, CIM, CING, CIO, CION, CIVI, CLAR, CLFD, CLPR, CLPT, CMBM, CMBT, CMRC, CNQ, CNR, CNTY, COLD, COLL, CON, COP, CPHC, CPK, CPSS, CPT, CRBP, CRDF, CRIS, CRNX, CRON, CTLP, CTMX, CTRM, CVKD, DBX, DCO, DD, DDOG, DH, DIOD, DKNG, DMLP, DNA, DNN, DNTH, DNUT, DOCS, DRCT, DRH, DRIO, DSGN, DTI, DWTX, DXPE, EB, EBR, EBR.B, ED, EDAP, EFXT, ELUT, EMX, ENOV, EOG, EPAM, EPRX, ESPR, ETON, EVAX, EVCM, EVH, EVOK, EVRG, EVTC, EWTX, EXFY, EXPE, EXPI, FA, FARM, FDUS, FENC, FFAI, FG, FGBI, FIGS, FIVN, FLL, FLO, FNF, FNKO, FOUR, FOXF, FROG, G, GAU, GCT, GDEN, GEN, GEO, GHI, GLUE, GMAB, GMED, GOCO, GOGO, GOOS, GOSS, GPRO, GREE, GRND, GRNT, GROW, GRPN, GRWG, GSAT, GSBD, GVA, H, HAE, HASI, HBI, HBIO, HCI, HGBL, HIHO, HIMX, HMR, HOWL, HQI, HRB, HSHP, HUN, HYFM, IBEX, IBOC, ICUI, IFS, IMA, IMNN, IMUX, INBS, INDI, INOD, INSG, INSW, INUV, IOR, IOVA, IREN, IRWD, ISOU, ISPC, JBI, JSPR, JYNT, KELYA, KELYB, KFS, KINS, KODK, KRMN, KRO, KRP, KRT, KRUS, KVHI, LAMR, LASR, LCTX, LCUT, LDI, LFCR, LFMD, LFST, LGND, LI, LIDR, LION, LMAT, LNSR, LNT, LNTH, LOMA, LPCN, LPG, LPRO, LPTH, LSPD, LSTA, LTRN, LVO, LXRX, LYEL, LYTS, MAIN, MAPS, MBX, MCFT, MCHP, MCHX, MDU, MERC, MFA, MFIC, MIDD, MKTW, MLAB, MLCO, MLTX, MNMD, MNR, MNST, MODG, MP, MRNA, MRVI, MRX, MSC, MSDL, MSGE, MSGM, MT, MTD, MTSI, MTUS, MTVA, MVIS, MVO, MWA, MXC, NABL, NATH, NATR, NBY, NEPH, NFE, NHI, NKTR, NKTX, NL, NN, NNI, NODK, NOG, NOMD, NOTE, NRDS, NRDY, NRG, NSYS, NTCT, NTIP, NTLA, NTRA, NUS, NUTX, NVAX, NVMI, NWS, NWSA, NXE, NXST, NXTC, OBLG, OGN, OKUR, OLED, OLPX, OMDA, ONC, ONIT, ONL, ONTO, OPAL, OPEN, OPRX, ORGO, ORMP, OS, OSCR, OUT, OXBR, PAR, PBA, PBH, PBR, PBR.A, PBYI, PCRX, PCT, PDFS, PENN, PEPG, PGNY, PH, PHAR, PHUN, PLMR, PLNT, PLRX, PLTK, PLUS, PMVP, PODC, PODD, PRA, PRKS, PRMB, PRQR, PRTA, PRTH, PRVA, PSHG, PSIX, PSQH, PTGX, PTON, PX, PZZA, QBTS, QNRX, QNST, QTTB, QXO, RAPP, RAVE, RBA, RC, RCEL, RCKT, RCMT, REFR, REI, RGNX, RL, RLAY, RLMD, RLYB, RNA, RNAC, ROK, RPTX, RUN, RWAY, RXO, RXT, RZLT, SATS, SAVA, SBDS, SCM, SCSC, SEAT, SEER, SG, SGA, SGHT, SGI, SGMO, SIGA, SKIN, SKLZ, SKYE, SLQT, SMR, SN, SNDK, SNOA, SNWV, SOLS, SOLV, SOUN, SRTS, SSP, STEP, STGW, STKS, STNE, STRA, STRW, STVN, SUZ, SVM, SYNA, SYRE, TAC, TBCH, TBRG, TCI, TCPC, TCX, TDW, TE, TEAD, TECX, TELA, TFX, TGLS, TGNA, TH, THAR, THM, THR, TIGO, TKC, TKNO, TMCI, TNDM, TPR, TRC, TRIP, TRMD, TRP, TRUP, TSE, TTD, TTEC, TTWO, TWI, TWNP, TXG, TXRH, TYRA, UA, UAA, UEIC, UHG, UMAC, UPB, UPLD, URGN, USAR, USAS, USFD, UWMC, VCEL, VCTR, VEEE, VEL, VERA, VERI, VHI, VOC, VOR, VST, VSTA, VTEX, VTGN, VTRS, VTYX, VYNE, VYX, WBD, WD, WEST, WHLR, WLDN, WMS, WPM, WRBY, WRN, WSC, WW, WYNN, XERS, XLO, XOMA, XPOF, XRAY, XYZ, YELP, YETI, YORW, YOU, ZD, ZLAB, ZURA, ZYME
- Ex-div:
BMRC, DCOMP, FELE, FSBW, HTBK, NWBI, OPBK, PGC, TRS, WFRD, WTFC
- Economic events and announcements:
- ADP Nonfarm Employment Change (consensus: 32K, previous: -32K)
- Crude Oil Imports (previous: -1.025M)
- Crude Oil Inventories (consensus: -2.500M, previous: -6.858M)
- Cushing Crude Oil Inventories (previous: 1.334M)
- Distillate Fuel Production (previous: -0.134M)
- EIA Refinery Crude Runs (previous: -0.511M)
- EIA Weekly Distillates Stocks (previous: -3.362M)
- EIA Weekly Refinery Utilization Rates (previous: -2.0%)
- Factory Orders (consensus: 1.4%, previous: -1.3%)
- Factory orders ex transportation (previous: 0.6%)
- Gasoline Inventories (previous: -5.941M)
- Gasoline Production (previous: -0.004M)
- Heating Oil Stockpiles (previous: 0.049M)
- ISM Non-Manufacturing Business Activity (previous: 49.9)
- ISM Non-Manufacturing Employment (previous: 47.2)
- ISM Non-Manufacturing New Orders (previous: 50.4)
- ISM Non-Manufacturing PMI (consensus: 50.7, previous: 50.0)
- ISM Non-Manufacturing Prices (previous: 69.4)
- JOLTS Job Openings (previous: 7.227M)
- MBA 30-Year Mortgage Rate (previous: 6.30%)
- MBA Mortgage Applications (previous: 7.1%)
- MBA Purchase Index (previous: 164.3)
- Mortgage Market Index (previous: 338.7)
- Mortgage Refinance Index (previous: 1,327.8)
- S&P Global Composite PMI (consensus: 54.8, previous: 53.9)
- S&P Global Services PMI (consensus: 55.2, previous: 54.2)
- U.S. President Trump Speaks
^^^^2025-11-05
sentiment 0.45
2 days ago • u/ActionJ2614 • r/stocks • anyone_else_think_the_ai_bubble_will_burst_after • C
Yes but it appears agentic AI has so many challenges outside a sandbox environment. Plus the challenges around RL, not to mention the cost association to implement.
Couple that with companies having data everywhere. Siloed applications/data, legacy applications, databases with different schema, etc.
The other issue is companies slapping that AI label on when it might not be that or the wrapper companies.
Right now it seems ROI, justification outside of certain segments is tough.
I have been around enough software (Enterprise AE, SaaS, on-premise,, hybrid) and seen how major companies have such mixed environments/infrastructure, and data everywhere.
There are so many companies that don't really know what they have across the footprint. That includes licensing.
How about non-standard data, like companies that use terms or info specific to their org.
Then from a dev standpoint what are the productivity gains, you have devs at different levels across orgs. You would still need to understand the output from AI and confirm it is correct. As it is security can be scary and now introducing AI.
I just see challenges if you don't have strict governance across an org. Which is very challenging across major corporations. Companies like to appear that they have all this structure, yet when you get behind the scenes you realize that isn't the case.
Sure summary and note taking are standard, I even helped a come years ago that was in beta in the space for Zoom meetings. Doing some really advanced stuff beyond just summary, I helped them to craft function around the sales function aspect. They have some well and get mentioned on LI and Reddit for what they do.
I am just putting some questions out there.
sentiment 0.96


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