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Check out our Dark Pool Levels

RIG
Transocean LTD.
stock NYSE

At Close
Aug 15, 2025 3:59:54 PM EDT
2.94USD-2.326%(-0.07)14,576,197
0.00Bid   0.00Ask   0.00Spread
Pre-market
Aug 15, 2025 9:26:30 AM EDT
3.02USD+0.332%(+0.01)10,637
After-hours
Aug 15, 2025 4:56:30 PM EDT
2.94USD0.000%(0.00)24,647
OverviewOption ChainMax PainOptionsPrice & VolumeSplitsDividendsHistoricalExchange VolumeDark Pool LevelsDark Pool PrintsExchangesShort VolumeShort Interest - DailyShort InterestBorrow Fee (CTB)Failure to Deliver (FTD)ShortsTrendsNewsTrends
RIG Reddit Mentions
Subreddits
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We have sentiment values and mention counts going back to 2017. The complete data set is available via the API.
Take me to the API
RIG Specific Mentions
As of Aug 17, 2025 12:24:05 AM EDT (<1 min. ago)
Includes all comments and posts. Mentions per user per ticker capped at one per hour.
4 days ago • u/OppositeMidnight • r/ValueInvesting • quant_exnyu_ml_in_finance_built_longform_ai • Stock Analysis • B
I’m a quant who taught ML in finance at NYU for 4 years, and have spent \~6 months building an AI workflow that produces long-form equity *primer* reports. Not selling anything; I’m looking for blunt feedback from analysts who do equity research for a living.
**What it does (brief)**
* Pulls public sources (filings, transcripts, ownership/insider, patent/R&D mentions, sentiment).
* Outputs a structured primer (business model, KPIs, financials/ratios, risks, comp set, pipeline/innovation, catalysts).
* All points are citation-backed to public links; no paywalled sell-side.
**Where I need your critique**
1. Biggest gaps vs. credible sell-side/independent work?
2. Sections you’d cut/condense for real-world usability?
3. Where would you *not* trust automation without a human pass?
4. Preferred output format: single PDF/HTML vs modular notes?
**Sample (mods: if links aren’t allowed, I’ll remove):**
RIG (Transocean) primer (HTML): [https://storage.googleapis.com/derek-snow-at-outlook-co-nz-public/sovai-agents-derek-snow-at-outlook-co-nz-positive-1a/tickercompany/RIG\_Transocean-Ltd/final\_report/RIG\_Transocean-Ltd.html](https://storage.googleapis.com/derek-snow-at-outlook-co-nz-public/sovai-agents-derek-snow-at-outlook-co-nz-positive-1a/tickercompany/RIG_Transocean-Ltd/final_report/RIG_Transocean-Ltd.html)
Happy to answer technical/process questions in the thread. No DMs, no waitlists, just trying to make this genuinely useful for practitioners.
sentiment -0.54
4 days ago • u/OppositeMidnight • r/ValueInvesting • quant_exnyu_ml_in_finance_built_longform_ai • Stock Analysis • B
I’m a quant who taught ML in finance at NYU for 4 years, and have spent \~6 months building an AI workflow that produces long-form equity *primer* reports. Not selling anything; I’m looking for blunt feedback from analysts who do equity research for a living.
**What it does (brief)**
* Pulls public sources (filings, transcripts, ownership/insider, patent/R&D mentions, sentiment).
* Outputs a structured primer (business model, KPIs, financials/ratios, risks, comp set, pipeline/innovation, catalysts).
* All points are citation-backed to public links; no paywalled sell-side.
**Where I need your critique**
1. Biggest gaps vs. credible sell-side/independent work?
2. Sections you’d cut/condense for real-world usability?
3. Where would you *not* trust automation without a human pass?
4. Preferred output format: single PDF/HTML vs modular notes?
**Sample (mods: if links aren’t allowed, I’ll remove):**
RIG (Transocean) primer (HTML): [https://storage.googleapis.com/derek-snow-at-outlook-co-nz-public/sovai-agents-derek-snow-at-outlook-co-nz-positive-1a/tickercompany/RIG\_Transocean-Ltd/final\_report/RIG\_Transocean-Ltd.html](https://storage.googleapis.com/derek-snow-at-outlook-co-nz-public/sovai-agents-derek-snow-at-outlook-co-nz-positive-1a/tickercompany/RIG_Transocean-Ltd/final_report/RIG_Transocean-Ltd.html)
Happy to answer technical/process questions in the thread. No DMs, no waitlists, just trying to make this genuinely useful for practitioners.
sentiment -0.54


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