Threat Research & History Trail (THRT) market snapshot:
Price $0.00000935, market capitalization $9.25K,
and reported 24-hour volume $2.
Trading activity:
Reported 24-hour volume equals 0.02% of market capitalization. The local markets snapshot lists Raydium among venues with observed trading activity.
YearBull indicators:
YearBull Rank #2,046. Bull Score 69/100.
YB Market Risk Low. This relative market-volatility label is not an investment-safety assessment.
Cycle Early. Observed price change: 24h 0.00% · 7d 0.00% · 30d -2.30%.
Values are descriptive and should be read together rather than as a price forecast.
Read the YearBull methodology.
Snapshot date: 2026-10-27.Data history: 66 daily observations available in the latest 90-day window.
Methodology responsibility:
YearBull’s analytical methodology and presentation rules are developed and maintained by
Alan Zelvin, Founder & Lead Crypto Researcher.
This note identifies responsibility for the methodology; it does not attribute authorship of this data snapshot.
What is Threat Research & History Trail (THRT)?
Source description
“THRT is a blockchain-powered platform whose goal is to decentralize file classification for “safe”, “malicious”, or “unknown" results and encrypted AI/ML training datasets. Built on the Solana blockchain, THRT leverages public transparency, data immutability, and tokengated access leading to the empowerment of students, researchers, and cybersecurity professionals by providing tools for education, audit, and threat research.”
This source-supplied description may contain old, promotional, or unverified claims and is not YearBull editorial analysis.
Threat Research & History Trail (THRT) project facts
Official links and contract records appear in Key Facts. Project details can change, so verify current information with the project.
Threat Research & History Trail (THRT) FAQ
How does THRT approach classifying files as safe, malicious, or unknown?
The project states that THRT is intended to decentralize file classification across three outcomes: “safe,” “malicious,” and “unknown.” This model presents uncertainty as a separate result rather than forcing every file into a definitive category. The project does not specify the review workflow, decision criteria, contributor roles, or how disagreements between classifications are resolved.
What role does THRT assign to encrypted AI/ML training datasets?
THRT presents encrypted AI/ML training datasets as part of its cybersecurity research platform. The stated aim is to support the handling of training material while incorporating confidentiality measures. The project does not specify the encryption method, dataset ownership rules, access controls, model-training process, or whether contributors receive compensation for supplying or reviewing datasets.
Why does THRT use the Solana blockchain for its platform?
The project says its Solana deployment supports public transparency and data immutability. In this framing, blockchain records are intended to make relevant activity more visible and resistant to retrospective alteration. The project does not specify which classifications or records are written on-chain, how privacy is preserved, or what fees and performance requirements apply to participants.
How could token-gated access function within THRT?
THRT positions token-gated access as a way to control entry to parts of its platform or research resources. This could support distinct permissions for educational, audit, or threat-research activities, but the project does not define the gated features, required token holdings, eligibility rules, duration of access, or whether access can be revoked.
Which groups does THRT say it aims to support?
The project presents THRT as a platform for students, researchers, and cybersecurity professionals. Its stated applications include education, auditing, and threat research, linking file classification and protected training datasets with practical learning and investigative work. The project does not specify curricula, professional requirements, institutional participation, or the exact tools available to each audience.
Threat Research & History Trail metric comparison
This comparison is a stored snapshot generated 2026-10-23 06:31 UTC from 143 daily observations available from 2025-12-30 through 2026-10-23. It is separate from the latest analytical cards above. Percentiles compare the snapshot value with that day's analytical universe; a higher percentile means a larger observed value, not necessarily a better investment characteristic.
Metric
Snapshot
30d before
90d before
Change vs 30d
Universe percentile
Price
$0.00000935
$0.00000957
$0.00004143
-2.3%
n/a
Market cap
$9.3K
$9.5K
$41.0K
-2.3%
P4.4
YearBull Rank
n/a
n/a
#5,742
n/a
n/a
Bull Score
n/a
n/a
16/100
n/a
n/a
Turnover
0.02%
0.06%
1.15%
0.0 pts
P17.2
YB Market Risk
n/a
n/a
Low
n/a
n/a
Cycle
n/a
n/a
Early
n/a
n/a
Median absolute daily movement 2.03%; distance from the highest local daily price -98.9%; circulating supply change 0.0%. These measurements are descriptive and do not predict future direction.
Editorial research. Identity, project facts, sources, and risks below belong to the dated editorial review. The live analytical snapshot above may be newer and is generated separately from stored market data.
Threat Research & History Trail: verified listing profile
Threat Research & History Trail (THRT) is tracked under the source identifier threat-research-history-trail; captured categories: Education, Solana Ecosystem, Pump.fun Ecosystem; recorded networks: solana.
Limits and open questions
Search surfaced only aggregator references and no opened primary project documentation in this pass.
Primary source and contract identity unresolved
YearBull Rank overview
Most recent YearBull Rank reading for threat-research-history-trail is #2046.
Rank timeline (last 365 days)
Rank movement (nearest daily data).
Reading rule: smaller rank numbers are better.
7d window (2026-10-16): #3966 → #2046 (up by 1920).
30d window (2026-10-04): #1993 → #2046 (down by 53).
Risk angle: minor drift can still matter at scale. If it moves only on certain days, it can be update cadence.
Cycle placement: phase changes usually leave a footprint in consistency. If both are flat, the coin may be tracking its peer basket.
Orderflow context: stable placement often correlates with stable participation. If the line drifts, liquidity may be gradually shifting.
Market structure: fragmentation can make rank more reactive. If rank can’t hold gains, it can be concentrated pressure.
YearBull Rank is a relative placement score used on YearBull to compare a coin against peers within the same dataset. Smaller numbers mean the coin sits higher in the YearBull list.
Editorial note:
This analysis was prepared by the YearBull research team under the direction of
Alan Zelvin,
Founder and Lead Crypto Researcher.
The assessment follows YearBull’s internal research methodology and editorial standards.
Methodology ·
Editorial Policy
Related Research
Continue with contextually connected profiles and category data:
Stored venue snapshot. Markets last checked: 2026-07-27. Updated on a rolling basis; no fixed refresh date is promised. Venue listings and volumes are stored snapshots, not live quotes.
