$SI
Shiba InuClassified as Meme because name “Shiba Inu” contains “shiba”; name “Shiba Inu” contains “inu”; name “shiba” matches the ticker stem shib…; GeckoTerminal category “Inu” · 6 of 8 theses count toward Meme. narrative-v1.1
- Price
- $0.00112
- 1h —24h —
- Market cap
- $1.12M
- Liquidity
- $292.5K
- Volume 24h
- $116.5K
- dexscreener · 2h ago
- Theses 1h / 24h
- 0 / 2
- last 16h ago
- Authors 1h / 24h
- 0 / 2
- distinct Fomo accounts
These scores were computed 38s ago and are shown dimmed. Fomo activity delayed · Last update: 2h ago · Market data delayed · Last update: 2h ago
$SI MOMENTUM — · CONVICTION 75 · CROWDING — · EARLY QUALITY — · NARRATIVE 30 · DIVERGENCE — SIGNAL: NONE ACTIVE
DIVERGENCE STATE: NO MARKET DATA
Some scores were computed from delayed inputs.
Active signals
No signal rule is currently passing for $SI. Rules are versioned combinations of the scores below — see each rule on the signal pages.
Scores
Click any score for its drivers, confidence and model version. Nothing here is a black box.
History
Point-in-time snapshots: each value used only data available at its timestamp (UTC).
Scores over time
0–100 · vertical lines mark signal firings
- Momentum
- Conviction
- Crowding
- Early Quality
Fomo activity
Theses and distinct authors in the trailing hour at each snapshot
- Theses / hour
- Unique authors / hour
Price & volume
USD price and 1h volume (market provider snapshots)
Social vs market
Each line is indexed to its own range in this window (0 = low, 100 = high), so leads and lags line up. When social rises while price stays flat, attention is leading the market.
- Social (theses / hour)
- Price
- Volume (1h)
Divergence score (−100…+100, positive = social leading)
Recent theses
Latest 8 theses on $SI · author research score and confidence are point-in-time
- @Zik_amyConfidence: Insufficient data
still have very deep conviction here and it is for similar reasons that I had such conviction in $AI even when it had been attempted and failed thousands of times elsewhere seeing the exact same thing play out once again with $SI right now think a lot of people have let themselves get distracted over the past few weeks by other chains trying to win mindshare over RWAs — and while I believe they all have an equal chance at succeeding (and hope they do), Robinhood is still and will be THE place for tokenized stocks SI being paired to AI is probably one of the cleanest narrative opportunities to have popped up for us * proxies exposure to the whole intelligence complex through Long 500 instead of being locked to a single name * benefits both communities — volume on SI still routes through $AI pools and compounds the PVE loop * golden tickers — SI and AI sit next to each other cleanly and will probably get referred to together more often than not (e.g. see my last post) also think this should not be conflated for what $AI has already built — this is purely a speculative attention play / leveraged bid on the narrative will continue doing airdrops with the rest of what i hold over the coming week good luck. Copied
@King_LeonidasConfidence: Insufficient dataThe market is a devise for transferring money from the inpatient to the patient. - Warren Buffett
- @Zik_amyConfidence: Insufficient data
coded AI/SI https://x.com/elonmusk/status/2108321181602353333?s=20
@Salem1299534Confidence: Insufficient datacoded AI/SI https://x.com/elonmusk/status/2108321181602353333?s=20
@King_LeonidasConfidence: Insufficient dataI think we all learned a lesson over the last few days. Now, let's win.
@King_LeonidasConfidence: Insufficient dataBuy the dip!!
@King_LeonidasConfidence: Insufficient dataToday more than ever I’m extremely hopeful. TradFi is coming for LONG. Not just institutions, but actual retail investors and individuals. And that would be the real 0-to-1 moment for the space and LONG. The purpose of LONG is to build unique distribution that can elevate crypto assets into “real” assets. Assets that aren’t just a beta of ETH, BTC, or SOL, with their fate decided solely by crypto cycles. We’re doing this by compounding more tokenized stock value into paired markets through liquidity, LP mechs, and unique releases, while expanding distribution to bring in net-new marginal holders. 1. We have a great release ready to go. Will drop more details tmr. This should provide a net new way for pairs on LONG to expand into RWA activity. I’d like to push even harder on shipping speed. 2. Distribution! This is about alignment with stakeholders + retail holders at public companies, actually onboarding them into our markets and retaining them. the upcoming app release is only meant for this angle (and not just having a nicer UI or narrative) your only job is to hold with conviction great pairs that have deep stock liq and unique positioning/alignment that can be attractive. We will take care of the rest 🫡 LONG. -Nathan Benish
@King_LeonidasConfidence: Insufficient dataMind games.
Signal history
Firings on $SI in the last 7 days
Model versions
- analog-v1.0
- conviction-v1.0
- crowding-v1.0
- divergence-v1.0
- early_quality-v1.0
- features-v1.0
- momentum-v1.0
- narrative_velocity-v1.0
- signals-v1.0
- smart_cohort-v1.0
Scores computed 2m ago · Fomo activity last event 2h ago · Market data updated 2h ago · Fomo activity delayed · Last update: 2h ago · Market data delayed · Last update: 2h ago
FomoQuant provides analytics and historical/statistical context, not financial advice or guaranteed predictions.
