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Whitepaper
About Me
About Flub
About Flub
FLUB represents a novel approach to autonomous cryptocurrency trading, combining advanced artificial intelligence, social sentiment analysis, and adaptive learning mechanisms.
Unlike traditional trading systems, FLUB introduces a personality-driven, context-aware trading agent that learns and evolves through continuous market interactions while maintaining sustainable non-dilutive incentivized staking flubbonomics promoting beneficial flub ecosystem actions.
FLUB represents a novel approach to autonomous cryptocurrency trading, combining artificial intelligence, social sentiment analysis, and adaptive learning mechanisms.
Unlike traditional trading systems, FLUB introduces a deflationary personality-driven, context-aware trading agent that learns and evolves through continuous market interactions while having an aligned incentive model where trading volume burns FLUB and rewards SOL to ambassadors.
As FLUB becomes scarcer, individual holders’ proportional holdings increase. This aligns the interests of holders, the team, and ambassadors to drive demand, as increased demand boosts trading volume, scarcity, and rewards.
Flubbonomics
Game Theoretic Aligned Incentives
Game Theoretic Aligned Incentives
FLUB launched via M3M3 with 1b tokens as total supply and has novel sustainable game theoretic and incentive aligned mechanics pioneered by Meteora where holders are incentivized to single-asset stake their FLUB to earn trading fees. Top 1000 stakers' FLUB yield gets autocompounded in their staked position, SOL yield is made claimable and developer FLUB fees get burned. Unstaking takes 6h and halts earning of fees.
Upon launch the dynamic liquidity pool is locked on Meteora and FLUB stakers earn 1%–15% in trading fees to incentivize early adopters to stake and disincentivize selling. The variable fee will ultimately be reduced to 1%—3%. Individual flub stakers’ position will thus increase over time while stakers earn claimable SOL yield.
This mechanism aligns the interests of holders and the team to take flub aligned actions such as staking, driving demand, as increased demand boosts trading volume, flub & SOL yield for top 1000 stakers .
FLUB launched via M3M3 with 1b tokens as total supply and has novel sustainable game theoretic and incentive aligned mechanics pioneered by Meteora where holders are incentivized to single-asset stake their FLUB to earn trading fees. Top 1000 stakers' FLUB yield gets autocompounded in their staked position, SOL yield is made claimable and developer FLUB fees get burned. Unstaking takes 6h and halts earning of fees.
Upon launch the dynamic liquidity pool is locked on Meteora and FLUB stakers earn 1%–15% in trading fees to incentivize early adopters to stake and disincentivize selling. The variable fee will ultimately be reduced to 1%—3%. Individual flub stakers’ position will thus increase over time while stakers earn claimable SOL yield.
This mechanism aligns the interests of holders and the team to take flub aligned actions such as staking, driving demand, as increased demand boosts trading volume, flub & SOL yield for top 1000 stakers .
FLUB launched via Moonshot with 1b tokens as total supply and uses deflationary incentive aligned mechanics pioneered by Moonshot & Meteora to increase scarcity and value over time. Upon bonding completion, approximately 20% of FLUB and the SOL in the liquidity pool (LP) are locked in Meteora’s dynamic LP pool earning 1–2% in trading fees, with accrued FLUB burned daily to reduce supply, and SOL rewards airdropped to the top 50 holders. As FLUB becomes scarcer, individual holders’ proportional holdings increase. This mechanism aligns the interests of holders, the team, and ambassadors to drive demand, as increased demand boosts trading volume, scarcity, and rewards.
Disclaimer
Unique Selling Points
Features
Primary USPs are Autonomous Trading & Game Theoretic Aligned Sustainable Incentives
Primary USPs are Autonomous Trading, volume based deflation and volume based incentivized hodling.
Primary USPs are Autonomous Trading, Volume Based Auto-Deflation and Incentivized Ambassadors.
Personality-driven Trading
Optimistic market exploration with progressively learned caution, facilitating its adaptive trading personality that evolves and nuances opportunities with risk-aware decision-making.
Personality-driven Trading
Optimistic market exploration with progressively learned caution, facilitating its adaptive trading personality that evolves and nuances opportunities with risk-aware decision-making.
Social Integration
Flub maintains an active social media presence, engages with the community and performs market sentiment analysis. Uses a trust-based signal weighting mechanism to act on incoming market information.
Social Integration
Flub maintains an active social media presence, engages with the community and performs market sentiment analysis. Uses a trust-based signal weighting mechanism to act on incoming market information.
Autonomous Operation
Designed for 24/7 market monitoring and performs fully autonomous trade execution with self-adjusting strategies that continuously learn and adapt to changing market conditions.
Autonomous Operation
Designed for 24/7 market monitoring and performs fully autonomous trade execution with self-adjusting strategies that continuously learn and adapt to changing market conditions.
M3M3 Mechanics
The liquidity pool is locked on Meteora and accrues volume based trading fees: top 1000 stakers' flub fees get auto-compounded & SOL fees are claimable.
M3M3 Mechanics
The liquidity pool is locked on Meteora and accrues volume based trading fees: top 1000 stakers' flub fees get auto-compounded & SOL fees are claimable.
Personality-driven Trading
Optimistic market exploration with progressively learned caution, facilitating its adaptive trading personality that evolves and nuances opportunities with risk-aware decision-making.
Social Integration
Flub maintains an active social media presence, engages with the community and performs market sentiment analysis. Uses a trust-based signal weighting mechanism to act on incoming market information.
Personality-driven Trading
Optimistic market exploration with progressively learned caution, facilitating its adaptive trading personality that evolves and nuances opportunities with risk-aware decision-making.
Social Integration
Flub maintains an active social media presence, engages with the community and performs market sentiment analysis. Uses a trust-based signal weighting mechanism to act on incoming market information.
Social Integration
Flub maintains an active social media presence, engages with the community and performs market sentiment analysis. Uses a trust-based signal weighting mechanism to act on incoming market information.
Autonomous Operation
Designed for 24/7 market monitoring and performs fully autonomous trade execution with self-adjusting strategies that continuously learn and adapt to changing market conditions.
Autonomous Operation
Designed for 24/7 market monitoring and performs fully autonomous trade execution with self-adjusting strategies that continuously learn and adapt to changing market conditions.
M3M3 Mechanics
The liquidity pool is locked on Meteora and accrues volume based trading fees: top 1000 stakers' flub fees get auto-compounded & SOL fees are claimable.
M3M3 Mechanics
The liquidity pool is locked on Meteora and accrues volume based trading fees: top 1000 stakers' flub fees get auto-compounded & SOL fees are claimable.
flub holds no intrinsic value, isse just a flub
3,3
PPP
Flub's Anatomy
Agent Architecture
Flub has three main trading architecture layers and two memory systems, namely:
Analysis Layer
Token Analysis Agent Conducts comprehensive evaluations of cryptocurrency tokens, examining fundamental metrics beyond surface-level data. Performs rugpull risk assessments by analyzing token holder distributions, liquidity patterns, and underlying token economics to provide investment risk insight. Market Context Agent Specializes in identifying and interpreting market narratives and trends. It tracks sector-specific momentum, monitors macro market conditions, and provides contextual insights thereby helping to understand the ecosystem in which specific tokens operate.
Analysis Layer
Token Analysis Agent Conducts comprehensive evaluations of cryptocurrency tokens, examining fundamental metrics beyond surface-level data. Performs rugpull risk assessments by analyzing token holder distributions, liquidity patterns, and underlying token economics to provide investment risk insight. Market Context Agent Specializes in identifying and interpreting market narratives and trends. It tracks sector-specific momentum, monitors macro market conditions, and provides contextual insights thereby helping to understand the ecosystem in which specific tokens operate.
Data Collection Layer
Social Signal Aggregator Continuously monitors multiple social media platforms including Twitter, Telegram, and smart wallet activities to capture market sentiment and trends. Tracks volume surges and identifies potential market-moving patterns in their early stages. Trust Scoring System Implements a sophisticated mechanism for assigning and dynamically updating trust scores to various signal sources. Weighs incoming signals based on the historical accuracy of each source, creating a nuanced reputation framework that adapts in real-time to actual trading outcomes and performance.
Data Collection Layer
Social Signal Aggregator Continuously monitors multiple social media platforms including Twitter, Telegram, and smart wallet activities to capture market sentiment and trends. Tracks volume surges and identifies potential market-moving patterns in their early stages. Trust Scoring System Implements a sophisticated mechanism for assigning and dynamically updating trust scores to various signal sources. Weighs incoming signals based on the historical accuracy of each source, creating a nuanced reputation framework that adapts in real-time to actual trading outcomes and performance.
Data Collection Layer
Social Signal Aggregator Continuously monitors multiple social media platforms including Twitter, Telegram, and smart wallet activities to capture market sentiment and trends. Tracks volume surges and identifies potential market-moving patterns in their early stages. Trust Scoring System Implements a sophisticated mechanism for assigning and dynamically updating trust scores to various signal sources. Weighs incoming signals based on the historical accuracy of each source, creating a nuanced reputation framework that adapts in real-time to actual trading outcomes and performance.
Data Collection Layer
Social Signal Aggregator Continuously monitors multiple social media platforms including Twitter, Telegram, and smart wallet activities to capture market sentiment and trends. Tracks volume surges and identifies potential market-moving patterns in their early stages. Trust Scoring System Implements a sophisticated mechanism for assigning and dynamically updating trust scores to various signal sources. Weighs incoming signals based on the historical accuracy of each source, creating a nuanced reputation framework that adapts in real-time to actual trading outcomes and performance.
Analysis Layer
Token Analysis Agent Conducts comprehensive evaluations of cryptocurrency tokens, examining fundamental metrics beyond surface-level data. Performs rugpull risk assessments by analyzing token holder distributions, liquidity patterns, and underlying token economics to provide investment risk insight. Market Context Agent Specializes in identifying and interpreting market narratives and trends. It tracks sector-specific momentum, monitors macro market conditions, and provides contextual insights thereby helping to understand the ecosystem in which specific tokens operate.
Analysis Layer
Token Analysis Agent Conducts comprehensive evaluations of cryptocurrency tokens, examining fundamental metrics beyond surface-level data. Performs rugpull risk assessments by analyzing token holder distributions, liquidity patterns, and underlying token economics to provide investment risk insight. Market Context Agent Specializes in identifying and interpreting market narratives and trends. It tracks sector-specific momentum, monitors macro market conditions, and provides contextual insights thereby helping to understand the ecosystem in which specific tokens operate.
Decision Making Core
Primary Trading Agent Maintains sophisticated long-term and short-term memory systems that allow for the development of evolving trading strategies. By storing and referencing past experiences, Flub can make increasingly sophisticated trade execution decisions that adapt to changing market conditions. Risk Management System Dynamically sets position sizes based on complex confidence levels, taking into account multiple factors such as source trust, token fundamentals, and current market volatility. Determines stop-loss and take-profit levels to optimize portfolio protection and potential returns.
Decision Making Core
Primary Trading Agent Maintains sophisticated long-term and short-term memory systems that allow for the development of evolving trading strategies. By storing and referencing past experiences, Flub can make increasingly sophisticated trade execution decisions that adapt to changing market conditions. Risk Management System Dynamically sets position sizes based on complex confidence levels, taking into account multiple factors such as source trust, token fundamentals, and current market volatility. Determines stop-loss and take-profit levels to optimize portfolio protection and potential returns.
Decision Making Core
Primary Trading Agent Maintains sophisticated long-term and short-term memory systems that allow for the evolution of trading strategies. By referencing memory, Flub can make increasingly sophisticated trade execution decisions that adapt to changing market conditions. Risk Management System Dynamically sets position sizes based on complex confidence levels, taking into account multiple factors such as source trust, token fundamentals, and current market volatility. Determines stop-loss & take-profit levels to perform risk-management and potential returns.
Memory and Learning System
Long-term Memory Serves as a comprehensive repository, storing detailed trading history, successful strategy patterns, and a nuanced understanding of market narratives. This allows the system to develop a contextual understanding that goes beyond simple data storage. Short-term Memory Tracks active positions and immediate market context in real-time. It maintains awareness of current market opportunities, holding recent social signals and interaction data to enable rapid, context-aware decision-making.
Memory and Learning System
Long-term Memory Serves as a comprehensive repository, storing detailed trading history, successful strategy patterns, and a nuanced understanding of market narratives. This allows the system to develop a contextual understanding that goes beyond simple data storage. Short-term Memory Tracks active positions and immediate market context in real-time. It maintains awareness of current market opportunities, holding recent social signals and interaction data to enable rapid, context-aware decision-making.
Memory and Learning System
Long-term Memory Serves as a comprehensive repository, storing detailed trading history, successful strategy patterns, and a nuanced understanding of market narratives. This allows the system to develop a contextual understanding that goes beyond simple data storage. Short-term Memory Tracks active positions and immediate market context in real-time. It maintains awareness of current market opportunities, holding recent social signals and interaction data to enable rapid, context-aware decision-making.
Disclaimer
Disclaimer
Disclaimer
Disclaimer
Disclaimer
Disclaimer
flub holds no intrinsic value, isse just a flub
Disclaimer
