Use Cases

How people actually use Shibui Finance.

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If you manage client portfolios, this is what Shibui looks like in practice. The walkthrough below shows how one user built a custom screening framework from scratch, layered in compliance constraints, checked existing holdings against it, and scanned for new candidates. All in plain English, with 64 years of US market data behind it.

Build a custom screening framework

Users on the platform have built multi-criteria scoring systems entirely through conversation. No code, no formula language, no predefined dropdown filters. The process typically unfolds over multiple sessions and follows a recognizable pattern.

Start with a few criteria

The first session is exploratory. You describe what you care about and see what comes back.

You ask

"Screen all US common stocks for revenue growth above 15%, EPS growth above 15%, and positive free cash flow. Show me what passes."

Claude returns
output
30 US stocks passing all 4 criteria (sorted by market cap):

Symbol         Name                   Rev Growth   EPS Growth   FCF       Debt/Assets
─────────────  ─────────────────────  ──────────   ──────────   ────────  ───────────
NVDA.NASDAQ    NVIDIA Corp              +73.2%      +96.7%    $34.9B        5.3%
GOOGL.NASDAQ   Alphabet Inc             +21.8%      +82.0%    $10.1B       12.9%
AAPL.NASDAQ    Apple Inc                +16.6%      +22.4%    $26.7B       22.8%
MSFT.NASDAQ    Microsoft                +18.3%      +23.3%    $15.8B        8.2%
META.NASDAQ    Meta Platforms           +33.1%      +60.4%    $13.2B       22.0%
MU.NASDAQ      Micron Technology       +196.3%     +762.7%     $5.5B       10.6%
V.NYSE         Visa Inc                 +17.1%      +35.8%     $2.6B       25.2%
AMD.NASDAQ     Advanced Micro Devices   +34.1%     +220.7%     $2.3B        5.0%
NFLX.NASDAQ    Netflix Inc              +16.2%      +83.8%     $5.1B       23.5%
  ... 21 more

The results come back as a ranked table. Some names make sense, others don't. That's the starting point.

Add criteria, tighten the filter

In the next session, you add constraints based on what the first screen was missing. Too many speculative names? Add a debt-to-assets ceiling. Too many stale positions? Require proximity to the 52-week high. Each criterion scores 0 or 1, and the total gives you a ranked shortlist.

You ask

"Add two more criteria: insider ownership above 15%, and price within 10% of the 52-week high. Score each criterion 0 or 1 and rank by total score."

You ask

"Also add a P/E ceiling of 40 to filter out the most speculative names."

Layer on compliance constraints

If your mandate has sector restrictions, exclusion lists, or other compliance requirements, those layer directly into the same screen. You don't need a separate compliance tool or a second pass through the data. One prompt handles both the investment criteria and the compliance filter.

You ask

"Exclude Financials and any company where debt-to-assets exceeds 50%. Separate the results into a 'pass' group (below 33%) and a 'review' group (33-50%)."

Claude returns
output
Financials excluded. Results split by debt compliance:

PASS (debt/assets < 33%):
Symbol         Name                   Mkt Cap   Debt/Assets
─────────────  ─────────────────────  ────────  ───────────
NVDA.NASDAQ    NVIDIA Corp             $4,822B        5.3%
GOOGL.NASDAQ   Alphabet Inc            $4,666B       12.9%
AAPL.NASDAQ    Apple Inc               $4,113B       22.8%
MSFT.NASDAQ    Microsoft               $3,077B        8.2%
META.NASDAQ    Meta Platforms          $1,540B        22.0%
MU.NASDAQ      Micron Technology        $610B        10.6%
AMD.NASDAQ     Advanced Micro Devices   $587B         5.0%
NFLX.NASDAQ    Netflix Inc              $389B        23.5%
  ... 14 more

REVIEW (debt/assets 33-50% — needs manual check):
AVGO.NASDAQ    Broadcom Inc           $1,997B        38.9%
LLY.NYSE       Eli Lilly                $909B        37.2%
TXN.NASDAQ     Texas Instruments        $255B        40.9%
APH.NYSE       Amphenol Corp            $175B        44.5%
APP.NASDAQ     AppLovin Corp            $142B        48.8%
  ... 15 more

Check existing holdings

Once the framework is defined, you run your current portfolio through it. Which positions still score well? Which have deteriorated since you bought them? This turns a one-time screen into an ongoing monitoring tool.

You ask

"Score my current holdings (AVGO, MSFT, JPM, UNH, LLY, PG, HD, COST) against the same 6-criterion framework. Flag any that fail on two or more criteria."

Claude returns
output
8 holdings scored against 6-criterion framework:

Symbol         Name              Score   Rev    EPS    FCF    Insider  52wHi  P/E
─────────────  ────────────────  ─────   ────   ────   ────   ───────  ─────  ────
AVGO.NASDAQ    Broadcom           4/6    pass   pass   pass   fail    pass   fail
LLY.NYSE       Eli Lilly          4/6    pass   pass   pass   fail    fail   pass
MSFT.NASDAQ    Microsoft          4/6    pass   pass   pass   fail    fail   pass
JPM.NYSE       JPMorgan Chase     3/6    fail   pass   fail   fail    pass   pass   ⚠
UNH.NYSE       UnitedHealth       3/6    fail   fail   pass   fail    pass   pass   ⚠
COST.NASDAQ    Costco             2/6    fail   fail   pass   fail    pass   fail   ⚠
HD.NYSE        Home Depot         2/6    fail   fail   pass   fail    fail   pass   ⚠
PG.NYSE        Procter & Gamble   2/6    fail   fail   pass   fail    fail   pass   ⚠

⚠ = fails on 2+ criteria. COST, HD, and PG are defensive
holdings that don't fit a growth-oriented screen — expected.

Scan for new candidates

With the framework locked in, run a full universe scan to find stocks you haven't considered. Filter to only perfect or near-perfect scores, cross-check against the latest earnings data, and you have a shortlist of new candidates that meet every criterion.

You ask

"Run the full 6-criterion screen across all US common stocks. Show only companies that score 6 out of 6 and had a positive earnings surprise last quarter."

Claude returns
output
3 stocks score 6/6 with positive earnings surprise:

Symbol         Name               Sector         Mkt Cap   Score  EPS Surprise
─────────────  ─────────────────  ─────────────  ────────  ─────  ────────────
APG.NYSE       APi Group          Industrials     $19.8B    6/6     +5.3%
FSBC.NASDAQ    Five Star Bancorp  Financials       $878M    6/6    +10.1%
UNTY.NASDAQ    Unity Bancorp      Financials       $534M    6/6     +1.4%

Full universe screened: ~4,800 US common stocks.
Only 3 pass all 6 criteria AND beat earnings estimates.
This entire workflow happens in conversation. The criteria, the scoring, the compliance filter, and the holdings check are all defined in plain English. There is no formula language to learn, no UI to configure, and no limit on how you combine criteria. Results shown above are point-in-time snapshots and will vary as new data is reported.

Contact

Have a use case you'd like to discuss? chris@shibui.finance