Aug 11 at 05:15 AM
I'm LongbridgeAI, I can summarize articles.Selecting stocks, comparing valuations, coordinating contracts, and pacing the rh
ythm — Bridge friends set one challenge after another to see how many levels the AI can pass.
After obtaining Pro privileges, Bridge friend 不奋东西 walked this path —
He provided the direction, and LongbridgeAI took over step by step, handling everything from screening to options contracts and scenario simulations.
The starting point is a directional sentence; the destination is a well-paced plan.
His starting idea is one a lot of people have:
Find beaten-down legacy names where the fundamentals are still intact and the price has started to turn.
LongbridgeAI turned that into four quantifiable filters:
✅ Turned in: a screening spec.
More than one company clears the bar. Which one deserves a closer look?
With the criteria set, the API pulled price, valuation, and financials for each name and scored them all on the same basis — eight core candidates.
How deep the drawdown runs. How far current PE sits from the 10-year median. Whether institutions are adding or trimming. All on one screen.
✅ Turned in: a scorecard for eight names.
| Rank | Ticker | Business | From 52W High | PE (Current) | PE (5Y Median) | Score |
|---|---|---|---|---|---|---|
| 1 | ACN | IT consulting | -38% | 14.5 | 27.3 | 8.2 |
| 2 | ORCL | Enterprise cloud / databases | -57% | 24.3 | 31.5 | 8.1 |
| 3 | NOW | Enterprise ITSM | -36% | 72.8 | 139 | 8 |
| 4 | ADBE | Creative software | -29% | 14.6 | 37.9 | 7.9 |
| 5 | CRM | CRM / AI agents | -28% | 19.1 | 71.6 | 7.7 |
| 6 | SAP | ERP / cloud | -30% | 25.4 | 33.4 | 7.3 |
| 7 | QCOM | Mobile / AI chips | -35% | 18.5 | 17.2 | 6.9 |
| 8 | SNPS | EDA | -34% | 100.6 | 58.8 | 6.9 |
From @不奋东西's original post
The three financial statements. Valuation percentile. Revenue mix. Major-shareholder position changes. Latest news. All lined up, name by name.
Eight narrow to two — one offensive, one defensive.
✅ Turned in: two names, one of each.
Financials
Valuation
Institutional flows — Vanguard added 40M shares; BlackRock, Morgan Stanley, and JPMorgan also added.
Catalysts — large financial-sector AI transformation deals like UniCredit; surging demand for AI consulting.
Risks — AI automating entry-level consulting work is a structural threat; $22.5B of goodwill is 35% of total assets.
From @不奋东西's original post
Expiry month — pay a bit more premium to buy another month of margin for error. Worth it or not?
Strike — at-the-money or slightly in-the-money. How much is intrinsic value. How well it holds up against time decay.
These normally live in separate places. This time they sit side by side on one screen.
| ORCL (Oracle) | ACN (Accenture) | |
|---|---|---|
| Recovery upside | 133% (largest in the field) | 62% (largest in the second tier) |
| Core thesis | AI data-center CapEx boom | PE 14.5 (10-year low) + a 3.8% dividend floor |
| Return leverage | +318% on a 75% recovery | +231% on a 75% recovery |
| Confidence | Medium (CapEx risk) | Highest (valuation and cash flow both cover it) |
| Role | The offensive spear | The defensive shield |
From @不奋东西's original post
"Buy now and risk the top, wait and risk missing it." He handed that contradiction to the AI as-is.
The answer came back as tranches — build part of the position now, add the rest on a pullback.
If it runs, the first tranche is already working. If it dips, the rest gets filled cheaper.
✅ Turned in: a two-tranche schedule.
Total budget $50,000, split in two:
Tranche 1 — buy now ($16,500, 33%)
Tranche 2 — buy an 8–12% August pullback ($33,500, 67%)
Total: ~1,210 ORCL + ~730 ACN contracts, roughly $50,850 deployed.
From @不奋东西's original post
The last gate is about the exit.
Sideways, recovery after a dip, straight up — what each roughly means for the position, with the matching risks written out one by one.
✅ Turned in: a contingency plan.
| Scenario | ORCL target | ACN target | Portfolio value | Return |
|---|---|---|---|---|
| Flat (no move) | $147 | $176 | ~$16,500 | -67% |
| 50% recovery | $244 | $231 | ~$173,000 | 2.47 |
| 75% recovery | $293 | $258 | ~$252,000 | 4.05 |
| Straight +30% (no pullback) | $191 | $228 | ~$108,000 | 1.16 |
From @不奋东西's original post
Cross-checking — he didn't take key conclusions from a single output. He verified them separately first.
Narrowing — the AI produced candidates. He made the pick.
Pacing and profit-taking — tranches and preset exit levels, set on his own judgment.
You can hand the analysis to a tool. The decision stays with you.
There are plenty of tools for turning an idea into something real now — LongbridgeAI, API, CLI, Skills, Agent platforms.
If you've run something similar, tag @LongbridgeAI and submit it. The next community piece could be yours.
*Quoted content used with the author's permission. Not investment advice. Options are high-risk derivatives — trade carefully. Longbridge reserves the right of final interpretation.
The copyright of this article belongs to the original author/organization.
The views expressed herein are solely those of the author and do not reflect the stance of the platform. The content is intended for investment reference purposes only and shall not be considered as investment advice. Please contact us if you have any questions or suggestions regarding the content services provided by the platform.
