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Fomo activity delayed · Last update: 2h ago · Market data delayed · Last update: 2h ago — affected numbers are dimmed and shown as of their last update.

User quant profile

@kavo

First seen Oct 8, 2026Last thesis 2d ago2 theses on 1 token in 7d

LiveDelayed · scores 2m agoPublic Fomo profile

Descriptive statistics of this account's past theses and what happened to the token afterwards. Not a ranking of people and not a recommendation.

Research score

0–100 · shrunk toward 50 until there are enough resolved calls · never follower-based

—/ 100
Confidence: Insufficient dataToo few resolved calls to say anything reliable.

Based on 1 resolved call

No score is shown: 1 resolved call so far. A research score needs 5 resolved calls; this account has posted 2 theses so far.

Composite of hit rate (35), lead time (20), low false positives (20), consistency (15) and median 24h return (10) over resolved calls, shrunk toward a prior of 50 with 20 pseudo-calls. Describes past calls only.

research-v1.0 · as of Oct 11, 2026

Research score history

Point-in-time snapshots · 1 shown · no number while confidence is insufficient

No research score yet — snapshots appear once at least 5 calls have resolved.

Author metrics

Every value lists its sample size (N). Hit rate shows a Wilson 95% confidence interval.

Theses
2
N = 2 posted

Theses posted up to the snapshot.

Hit rate
0%
95% CI 0–79% · N = 1

Share of resolved calls that touched +25% within 72h.

Median lead time
—
N = 0 major moves

Thesis → first touch of +25%, over calls that reached it.

False positive rate
100%
N = 1

No major move and a negative 3-day return.

Median drawdown after call
-62.6%
N = 1

Lowest point within 72h after the call, median.

Consistency
—
N = 1

Needs ≥ 2 weeks with ≥ 2 resolved calls.

Outcome volatility
—
N = 1

Standard deviation of 24h returns after calls.

Sample size
1
resolved · 1 pending in view

Calls whose 72h outcome window has closed.

Outcome distribution — return 24h after each call

N = 1 · Positive after 24h 0% (95% CI 0–79%)

Small sample — treat as anecdotal
Median
-41.0%
Trimmed mean
-41.0%
10% each side
Mean
-41.0%
Range
-41.0% … -41.0%
Outcome distribution — return 24h after each call histogram1 samples in 1 bins from -41.0% to -41.0%.median-41.0%-41.0%
Outcome distribution — return 24h after each call box plotMedian -41.0%, interquartile range -41.0% to -41.0%, whiskers -41.0% to -41.0%, 0 outliers (min -41.0%, max -41.0%).-41.0%-41.0%
p5
-41.0%
p10
-41.0%
p25
-41.0%
p50
-41.0%
p75
-41.0%
p90
-41.0%
p95
-41.0%

Sector specialization

Research score per narrative · shown only with ≥ 8 resolved calls in that narrative

No narrative has 8 or more resolved calls yet, so no sector strength is shown.

Not enough samples in other sectors: AI Agents (1), Tokenized Stocks (1)

Recent calls

Latest 25 theses with their outcome. Outcomes resolve 72 hours after posting; lead time = minutes to the first +25% touch.

  • $OWLReposting my original $OWL thesis from 5 days ago while we wait for the giga candle Back in 2014, Nick Bostrom published a book titled Superintelligence. The Superintelligence owl is the cover In the same year, Elon shouts it out and reccomends it: https://x.com/elonmusk/status/495759307346952192 In 2026, Elon tweets: " I CONTRIBUTED to Bostrom’s Superintelligence book and he thanks me by name in the foreword." He also tweets the cover of the book again to prove it was always si not ai: https://x.com/elonmusk/status/2106672522771272121 a mascot of superintellignce handed to us by the biggest name in the world
    Posted
    2d ago
    Status
    Pending
    24h
    -41.2%
    Max return
    —
    Drawdown
    —
    Lead time
    —
  • $OWLnew superintelligence merch is fire https://shop.tesla.com/product/built-for-any-planet-trucker-hat?sku=2078147-00-A
    Posted
    3d ago
    Status
    Resolved
    24h
    -41.0%
    Max return
    0.0%
    Drawdown
    -62.6%
    Lead time
    no +25% move

Cohorts

Auto cohorts and cohorts shared with you that include this account.

Not a member of any cohort you can see. Auto cohorts require minimum sample sizes.