MasterBOT ($BOT)

YearBull Rank i
#8417
Bull Score
30
YB Market Risk
Low
Cycle
Early

Overview

MasterBOT ($BOT) market snapshot: Price $0.00015358, market capitalization $153.55K, and reported 24-hour volume $143.

Trading activity: Reported 24-hour volume equals 0.09% of market capitalization. The local markets snapshot lists Meteora DAMM V2 among venues with observed trading activity.

YearBull indicators: YearBull Rank #8,417. Bull Score 30/100. YB Market Risk Low. This relative market-volatility label is not an investment-safety assessment. Cycle Early. Observed price change: 24h -1.27% · 7d -12.81% · 30d -32.75%.

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: 90 days 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 MasterBOT ($BOT)?

Source description

“"MasterBOT" is a Web3 platform where a global community collaborates to train the sophisticated AI that will power the next generation of real-world robots. The project showcases the immense speed and efficiency of virtual simulation in solving the biggest bottleneck in robotics: AI training. The MVP Mechanism: The core of our launch product is a fully autonomous Unity simulation. A "Game Master" algorithm procedurally generates a unique, complex obstacle course each day. Three distinct AI "Training Strategies" are deployed in parallel to learn and solve the challenge, generating valuable data on AI learning. Our goal is to demonstrate a new paradigm for developing the brains of the billions of robots that will define the next economic boom.”

This source-supplied description may contain old, promotional, or unverified claims and is not YearBull editorial analysis.

MasterBOT ($BOT) project facts

  • Source tags: Gambling (GambleFi), Prediction Markets, Solana Ecosystem
  • Recorded networks: Solana

Official links and contract records appear in Key Facts. Project details can change, so verify current information with the project.

MasterBOT ($BOT) FAQ

How does MasterBOT’s daily obstacle-course system work?

The project describes a fully autonomous Unity simulation as the core of its launch product. A “Game Master” algorithm procedurally generates a new obstacle course each day, creating changing environments for AI systems to tackle. This mechanism is presented as a way to produce varied training challenges and demonstrate how virtual simulation can support the development of robotic intelligence.

What are MasterBOT’s three AI Training Strategies?

MasterBOT states that three distinct AI “Training Strategies” are deployed in parallel within its simulation. Each strategy attempts to learn and solve the procedurally generated challenge, allowing the project to compare how different approaches respond to the same environment. The resulting activity is described as generating data about AI learning rather than as a completed robotics solution.

Why does MasterBOT use virtual simulation for robotics training?

The project presents virtual simulation as a faster and more efficient way to train AI than relying solely on physical robots and real-world testing. It positions this approach as a response to what it calls a major bottleneck in robotics: developing the AI systems that control machines. The stated objective is to explore how simulated environments can help produce training data at scale.

What broader robotics goal does MasterBOT present?

The project positions its work as an exploration of a new way to develop the “brains” of large numbers of robots. It states that the data and learning produced by its virtual challenges could contribute to training AI for the next generation of real-world robotic systems. This is presented as a long-term ambition, while the described launch product is the autonomous simulation.

MasterBOT metric comparison

This comparison is a stored snapshot generated 2026-10-23 06:31 UTC from 293 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.

MetricSnapshot30d before90d beforeChange vs 30dUniverse percentile
Price$0.00016464$0.00020311$0.00021695-18.9%n/a
Market cap$164.6K$203.1K$216.9K-18.9%P41.9
YearBull Rank#5,247#5,374#4,650Improved 127P38.6
Bull Score41/10038/10038/100+3.0 ptsP35.3
Turnover0.34%0.13%0.01%+0.2 ptsP44.4
YB Market RiskLowLowLowUnchangedn/a
CycleEarlyEarlyEarlyUnchangedn/a

Median absolute daily movement 3.32%; distance from the highest local daily price -86.8%; circulating supply change 0.0%. These measurements are descriptive and do not predict future direction.

YearBull Rank context

Newest YearBull Rank value for masterbot: #8417.

Rank timeline (last 365 days)

Rank change (reference points).

Reading rule: smaller rank numbers are better.

  • 7d window (2026-10-20): #4565 → #8417 (down by 3852).
  • 30d window (2026-09-27): #4137 → #8417 (down by 4280).

YearBull Rank is a relative placement score used on YearBull to compare a coin against peers within the same dataset. Lower values mean higher placement in the YearBull ordering. It is a context signal for relative placement, not an outcome forecast.

Risk profile: a calm line with small steps can be healthier than spikes. If the last week is quiet, the current rank is usually easier to trust.

Liquidity posture: deep markets usually produce smoother rank paths. If the curve improves but won’t hold, treat it as flow-driven.

Cycle placement: phase changes usually leave a footprint in consistency. If 7d and 30d disagree, treat it as a transition window.

Exchange footprint: venue mix can alter rank without changing the narrative. If rank can’t hold gains, it can be concentrated pressure.

Practical note: compare across windows before concluding.

Update date: 2026-10-27

Disclaimer: Not financial advice. Cryptocurrency investments carry high risk. DYOR.

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

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MasterBOT ($BOT) Markets

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.
Exchange Top Pair Stored 24h volume (snapshot) Trust Rank
Meteora DAMM V2 $BOT/SOL $487 #251

Listings are ordered by reported snapshot volume. Trust Rank is an external venue-quality indicator; it is not an endorsement or a solvency guarantee.