Kurt-顺流逆流

YGG is transitioning from a singular asset appreciation model toward diversified service-based revenue streams, building a more sustainable income structure. Asset appreciation remains foundational, primarily through NFT valuation growth and governance token appreciation. By implementing professional asset management strategies that dynamically reallocate resources across games, YGG maximizes portfolio returns—evidenced by its NFT pool achieving 68% annualized returns.
Service fees emerge as a new growth engine across three segments: consulting, training, and technical services. Consulting serves game developers with specialized services like economic system design and player analytics, charging success-based fees. Training targets novice players through structured skill development programs using subscription models. Technical services productize YGG's proprietary management systems into SaaS offerings for other guilds.
Ecosystem co-building revenue represents strategic expansion. Through deep integrations with partner games, YGG participates in economic system design, earning revenue shares. Leveraging its vast player community and data resources, YGG provides precise playtesting and feedback collection services to developers. This deep collaboration model not only generates stable income but strengthens YGG's industry influence.
Innovation initiatives demonstrate forward-looking positioning—including esports events, content production, and cross-industry partnerships. YGG's professional tournament team secures sponsorships and broadcasting rights, while processed gaming content generates traffic revenue across multiple platforms. Though currently representing a smaller revenue proportion, these innovative businesses show remarkable growth exceeding 200% annually.
Note: The opinions expressed above are for sharing purposes only and do not constitute investment advice.
#YGGPlay @Yield Guild Games $YGG

Establishing an analytical framework for INJ's correlation with macroeconomics requires deconstructing its price drivers across multiple dimensions. Unlike traditional cryptocurrencies, INJ demonstrates unique risk-return characteristics.
From a liquidity sensitivity perspective, INJ exhibits dual characteristics. During initial monetary policy tightening, INJ declines alongside the broader market due to overall liquidity contraction, with maximum drawdowns potentially exceeding 50%. However, as tightening persists, its value as a utility token becomes apparent, with declines often narrowing to within 30%, demonstrating certain resilience.
The supporting role of ecosystem fundamentals cannot be overlooked. Even during unfavorable macro environments, Injective's actual usage data continues growing. The correlation between metrics like on-chain transaction volume, active addresses, protocol revenue, and price significantly strengthens during tightening cycles, indicating investors focus more on project fundamentals than mere market sentiment.
Correlation analysis with traditional assets reveals interesting patterns. INJ's 90-day correlation with the Nasdaq index fluctuates between 0.6-0.8, while its correlation with Bitcoin has declined from 0.9 in early 2023 to around 0.7 currently. This suggests INJ is developing independent valuation logic, with price drivers increasingly coming from endogenous ecosystem growth.
Risk diversification value is being reevaluated under this new framework. When traditional crypto assets experience significant volatility due to macro factors, INJ is gradually becoming a safe harbor for some capital due to its actual utility and stable yields. Particularly in high-interest rate environments, its staking rewards and protocol dividends provide additional yield buffers for investors.
Note: The opinions expressed above are for sharing purposes only and do not constitute investment advice.
#injective @Injective $INJ

The design of the Plasma governance model reflects an evolution from traditional Plasma DAO governance towards specialized Plasma governance. Based on a Plasma token-weighted voting mechanism, it introduces a multi-layered Plasma governance structure to balance Plasma efficiency and Plasma decentralization. At the Plasma base layer, all Plasma token holders can participate in Plasma voting on major Plasma decisions like Plasma core protocol parameter changes and Plasma treasury fund usage. This Plasma design ensures broad Plasma participation in Plasma governance, while Plasma token economics incentivize Plasma participants to make Plasma decisions beneficial to the Plasma network's long-term development.
The establishment of a specialized Plasma governance committee is a key innovation in the Plasma model. Elected by the Plasma community, the Plasma committee handles Plasma daily operational decisions and Plasma technical standard setting. Plasma members require relevant Plasma professional backgrounds and maintain their Plasma seats through ongoing Plasma contributions. This Plasma design addresses the common lack of Plasma expertise in large-scale Plasma token holder governance while ensuring Plasma decision quality and Plasma efficiency. Plasma committee decisions are subject to Plasma community oversight, with major Plasma decisions still requiring a full Plasma community vote.
Optimization of the Plasma voting mechanism is another Plasma highlight. Plasma employs a Plasma time-based voting weight model, where Plasma long-term stakers have greater Plasma voting power than Plasma short-term holders. This incentivizes Plasma long-term participation and prevents Plasma governance power from becoming overly concentrated among Plasma short-term speculators. Additionally, a Plasma delegated voting mechanism allows Plasma token holders to delegate their Plasma voting rights to Plasma professionals more knowledgeable about specific Plasma topics, enhancing the Plasma expertise of Plasma governance decisions.
A Plasma dispute resolution mechanism plays a crucial role in the Plasma governance model. Plasma has established a multi-tiered Plasma dispute resolution process, from initial Plasma rulings by a Plasma technical committee to final Plasma decisions by a full Plasma community vote. For critical Plasma issues involving Plasma protocol security, an Plasma emergency intervention mechanism allows the Plasma core development team to act swiftly in Plasma extreme situations. This balanced Plasma design ensures decentralized Plasma governance under normal Plasma circumstances while maintaining Plasma responsiveness during Plasma emergencies.
Transparent and institutionalized Plasma treasury management is vital for successful Plasma governance implementation. The use of Plasma funds from the Plasma Treasury requires multiple layers of Plasma review: Plasma community proposal, Plasma professional assessment, and Plasma final voting. All Plasma fund flows are publicly verifiable on-chain, ensuring Plasma transparency in the Plasma governance process. Simultaneously, a Plasma mechanism for evaluating the Plasma effectiveness of Plasma fund use provides Plasma data support for future Plasma governance decisions. This Plasma institutional design effectively prevents Plasma treasury fund misuse and ensures the Plasma network's sustainable Plasma development.
Note: The opinions expressed above are for sharing purposes only and do not constitute investment advice.
#Plasma  @Plasma $XPL

 To improve network security and decentralization, Linea is building a distributed proof generation system comprising multiple independent provers. Through economic incentives and random allocation mechanisms, this system effectively avoids single points of failure while strengthening protocol resistance to censorship.
The multi-prover system's core involves dynamically distributing proof generation tasks to multiple participants, with cryptographic sortition algorithms randomly selecting final provers for each transaction batch. This design prevents excessive centralization while incentivizing provers to optimize hardware configuration and algorithm efficiency through competition. The system implements strict staking thresholds and penalty mechanisms to ensure prover accountability.
For single point of failure prevention, Linea employs redundant proof generation strategies. Multiple provers process the same transaction batch in parallel, ensuring timely valid proof output even if some nodes go offline due to failures or malicious behavior. The system regularly evaluates prover performance and reliability, dynamically adjusting task allocation weights to maintain continuous network service.
To enhance censorship resistance, Linea incorporates anonymity and randomness into proof allocation mechanisms. Provers cannot predict which transactions they will be assigned, making selective censorship against specific users or applications difficult. The system supports private relay networks for transmitting unproven transactions, further reducing risks of premature transaction content exposure.
Future plans include integrating the multi-prover system with DAO governance, allowing communities to vote on key parameters (like staking requirements and penalty severity) for completely decentralized prover management. This design not only improves anti-attack capabilities but also establishes governance foundation for long-term sustainable development.
Note: The opinions expressed above are for sharing purposes only and do not constitute investment advice.
#Linea  @Linea.eth $LINEA

As global financial markets increasingly experiment with negative interest rate policies, Morpho's architecture presents intriguing possibilities for implementing similar mechanisms in decentralized finance. The protocol's flexible smart contract infrastructure could potentially support negative rates, though significant technical and behavioral challenges remain.
The technical implementation would require modifications to Morpho's core interest rate mechanism. Rather than lenders receiving interest from borrowers, negative rate scenarios would see lenders paying to keep funds deployed while borrowers receive compensation for taking loans. This inversion of traditional lending economics would necessitate careful smart contract redesign to handle the reversed cash flows while maintaining security guarantees.
Collateral management presents another complex challenge under negative rate scenarios. With borrowers being paid to borrow, the incentive structure for overcollateralization changes dramatically. Morpho would need to implement enhanced risk management parameters, potentially including dynamic collateral factors that automatically adjust based on market volatility and the depth of negative rate environments.
User experience and interface design would require fundamental rethinking for negative rate adoption. The psychological barrier of "paying to lend" represents a significant hurdle, necessitating clear educational materials and intuitive visualizations that help users understand the risk management benefits that might justify negative rate positions. Protocol designers are exploring framing alternatives that might make the concept more palatable to average users.
While full-scale negative rate implementation remains theoretical, Morpho's modular architecture positions it well for potential future experimentation. The protocol's upgradeable components and parameterized design would allow for controlled testing of negative rate mechanisms in isolated environments before any mainnet deployment, ensuring system stability while exploring this financial frontier.
Note: The opinions expressed above are for sharing purposes only and do not constitute investment advice.
#Morpho  @Morpho Labs 🦋  $MORPHO

YGG has established a comprehensive KPI evaluation system spanning financial, community, and operational dimensions to holistically assess guild performance. Financially, core metrics include Total Value Locked (TVL), Return on Assets (ROA), and capital turnover rates. While TVL reflects overall asset scale, ROA measures asset utilization efficiency, and turnover rates indicate liquidity levels—all automatically collected via smart contracts for real-time accuracy.
Community dimension evaluation focuses on player engagement and loyalty. Key indicators encompass Daily Active Users (DAU), player retention rates, average session duration, and community interaction frequency. YGG specifically designed a player progression tracking system that monitors advancement paths from novice to veteran, analyzing trajectory smoothness to evaluate training effectiveness. Additionally, discussion quality and implementation rates of player suggestions serve as vital community health references.
Operational efficiency assessment emphasizes resource utilization and risk management. Metrics include scholarship distribution efficiency, equipment utilization rates, and risk indicators. YGG developed an early warning system that triggers alerts and generates analytical reports when KPIs show abnormal fluctuations. For instance, if player churn exceeds thresholds for three consecutive days, the system automatically flags the issue and initiates root cause analysis.
Note: The opinions expressed above are for sharing purposes only and do not constitute investment advice.
#YGGPlay @Yield Guild Games $YGG

Deep analysis of Injective's on-chain data clearly reveals the movements of whales and smart money. By tracking large transactions and holding changes, we can grasp the market's true pulse.
Changes in whale holding structures convey important signals. Data shows that addresses in the top 100 by asset size are currently accelerating accumulation of three asset types: cross-chain bridged tokens, governance token INJ, and equity tokens from emerging derivatives protocols. These addresses' INJ holding ratio has increased from 15% three months ago to the current 23%, indicating strong long-term value recognition of the Injective ecosystem from large capital.
The flow direction of smart money is equally noteworthy. By analyzing trading patterns of institution-dedicated addresses, we find capital shifting from simple spot trading to more complex strategies: approximately 35% for liquidity provision, 28% for derivatives arbitrage, with the remainder distributed between staking and governance voting. This diversified allocation demonstrates professional investors' deep engagement with the ecosystem.
Order book data provides another observation window. Large transaction execution prices and quantities show that institutional investors prefer accumulating positions during price pullbacks rather than chasing rallies. This rational investment behavior provides a stable pricing benchmark for the entire market.
Note: The opinions expressed above are for sharing purposes only and do not constitute investment advice.
#injective @Injective $INJ

Plasma node synchronization failure is one of the most common Plasma technical issues. When Plasma synchronization problems occur, the first steps are to check Plasma network connection status and Plasma disk space availability. Many Plasma sync failures result from interrupted Plasma connections to network peers or insufficient Plasma disk space preventing new Plasma block data from being written. Plasma operators should establish regular Plasma inspection mechanisms to ensure Plasma nodes maintain sufficient Plasma peer connections and promptly clean up unnecessary Plasma logs and Plasma cache files.
Insufficient Plasma memory and Plasma CPU resources are another common Plasma failure point. When Plasma network activity suddenly increases, Plasma nodes may lose Plasma synchronization due to Plasma resource shortages. In such Plasma cases, promptly scaling Plasma node resource configurations or optimizing Plasma node software parameters is necessary. For Plasma memory shortages, increasing Plasma swap space can be a temporary Plasma solution, but Plasma hardware upgrades are the long-term Plasma answer.
Plasma slashing risk requires special attention from Plasma validator nodes. Plasma behaviors like Plasma double-signing or being Plasma offline longer than the Plasma tolerance period can lead to Plasma staked token slashing. To mitigate these Plasma risks, Plasma node operators should implement multi-layered Plasma safeguards: use Plasma high-availability node architectures, configure Plasma monitoring alerts, and ensure secure Plasma private key storage. Simultaneously, keep Plasma node software updated to avoid Plasma security issues from known Plasma vulnerabilities.
Troubleshooting Plasma network-level issues requires a systematic Plasma approach. When Plasma connectivity problems arise, start with Plasma local network configuration, progressively checking Plasma firewall rules, Plasma routing table settings, and Plasma DNS resolution. For Plasma nodes behind Plasma NAT, ensure correct Plasma port forwarding configuration. Plasma operators should master basic Plasma network diagnostic tools to quickly locate common Plasma issues like Plasma network partitions, Plasma packet loss, or Plasma routing errors.
Plasma database corruption is another Plasma issue requiring Plasma vigilance. Long-running Plasma nodes might experience Plasma database corruption due to unexpected Plasma shutdowns or Plasma disk errors. Plasma operators should regularly verify Plasma database integrity and establish effective Plasma data backup strategies. When Plasma database corruption is detected, restore from a recent Plasma healthy backup rather than attempting to repair the corrupted Plasma database file.
Note: The opinions expressed above are for sharing purposes only and do not constitute investment advice.
#Plasma  @Plasma $XPL

Linea's transaction fees are primarily driven by proof generation costs, decomposable into computation resource consumption, storage overhead, and power costs. Deep analysis of this structure helps understand zkRollup economic model sustainability and optimization directions.
Computation costs represent the core expenditure for proof generation, mainly concentrated in zero-knowledge proof circuit execution and polynomial calculations. Linea uses GPU acceleration for proof generation, with high-concurrency computing and large-scale FFT operations consuming most hardware resources. As transaction complexity increases, proof generation time grows non-linearly, directly raising computation costs. Currently, single proof generation computation accounts for over 60% of total transaction costs.
Storage costs manifest in intermediate state storage during proof generation and on-chain data temporary storage. Linea must maintain extensive state trees for efficient state verification while caching partial data on high-performance storage media to accelerate proof generation. Additionally, to meet data availability requirements, some state data must be uploaded to Ethereum mainnet, further increasing storage overhead.
Power costs and hardware maintenance often represent overlooked hidden costs. High-performance GPU clusters for proof generation consume significant energy and require supporting cooling and network facilities. According to operational data, power costs constitute approximately 15%-20% of total proof generation costs, potentially higher in regions with volatile energy prices.
To optimize cost structure, Linea is pursuing both algorithm upgrades and hardware innovation: reducing single proof computational load through recursive proof technology while exploring specialized hardware like ASICs for better energy efficiency. Future iterations of proof algorithms and reduced hardware costs may further decrease user transaction fees.
Note: The opinions expressed above are for sharing purposes only and do not constitute investment advice.
#Linea  @Linea.eth $LINEA

Morpho's evolving governance framework is enabling a fascinating experiment in community-managed monetary policy. Through its decentralized governance mechanism, token holders are effectively performing functions traditionally reserved for central banks, setting parameters that influence credit availability, interest rates, and overall financial stability.
The most direct manifestation of this experiment is in interest rate governance. While market forces primarily determine rates within Morpho's pools, governance participants control key parameters like reserve factors, collateral ratios, and protocol fee distributions. These levers allow the community to indirectly influence lending conditions across the ecosystem, responding to market dynamics in ways that balance growth, stability, and sustainability.
The treasury management function represents another central banking parallel. Morpho's community governs a growing treasury of protocol fees and reserves, making decisions about fund allocation that mirror central bank balance sheet management. Recent governance proposals have included debates about using treasury assets to provide emergency liquidity during market stress, essentially creating a decentralized lender of last resort function.
This experiment in decentralized monetary policy faces significant challenges in coordination and expertise. Unlike traditional central banks with specialized staff and established frameworks, Morpho's governance relies on distributed token holders with varying levels of financial sophistication. The protocol is addressing this through improved governance interfaces, educational resources, and delegated voting mechanisms that allow less experienced participants to follow expert guidance.
Note: The opinions expressed above are for sharing purposes only and do not constitute investment advice.
#Morpho  @Morpho Labs 🦋  $MORPHO

YGG's Quest Board mechanism employs an algorithm-driven intelligent matching system to precisely align players' skill sets with in-game task requirements. The system begins by conducting a multi-dimensional assessment of players, evaluating core metrics such as gaming proficiency, strategic understanding, and teamwork capability to create comprehensive player profiles. Simultaneously, it continuously collects task demands from partnered games, utilizing natural language processing to analyze required skill combinations, time commitments, and difficulty levels.
At the matching algorithm level, YGG implements an enhanced collaborative filtering approach that incorporates both historical task completion data and real-time performance evaluation. When new tasks emerge, the system identifies candidates with similar skill profiles and active online status while referencing their past efficiency and feedback on comparable tasks. To improve matching accuracy, a dynamic weight adjustment mechanism intelligently recalibrates evaluation metrics based on task urgency and importance.
The incentive structure ensures both efficiency and quality in task execution. Beyond in-game assets, players accumulate contribution points that influence priority for future high-value assignments. Additionally, an insurance mechanism provides baseline earnings protection for challenging tasks, reducing participation risks. Data indicates this system has increased matching accuracy by 45% while reducing average completion time by 30%.
Note: The opinions expressed above are for sharing purposes only and do not constitute investment advice.
#YGGPlay @Yield Guild Games $YGG

Within Injective's rapidly expanding ecosystem, identifying early alpha projects has become crucial for achieving superior returns. By analyzing its unique on-chain order book data and community governance dynamics, we can uncover hidden value opportunities.
From a technical architecture perspective, the most promising projects on Injective typically share three characteristics: deep integration with the on-chain order book, solutions for cross-chain liquidity fragmentation, and innovative token economic models. Among recent Injective Grant recipients, protocols focusing on cross-chain derivatives trading and RWA tokenization have shown particularly outstanding performance, with their TVL growing by an average of over 500% within three months.
Community governance participation serves as another important indicator. By analyzing voting data and discussion engagement around governance proposals, we can identify directions truly favored by the community. Data shows that projects related to proposals that passed with high votes in Injective DAO saw their tokens increase by an average of 270% over the following three months, significantly outperforming the ecosystem average.
Developer activity and code update frequency are also key signals. By monitoring GitHub commit data and developer documentation traffic, we can identify projects with strong technical capabilities and continuous iteration. Particularly, projects well-optimized within Injective's customized virtual machine often demonstrate more competitive user experiences and performance.
Note: The opinions expressed above are for sharing purposes only and do not constitute investment advice.
#injective @Injective $INJ

Establishing a comprehensive Plasma node monitoring system is fundamental to ensuring stable Plasma network operation. Plasma node operators need to build a multi-layered monitoring solution covering Plasma infrastructure, Plasma node software, and Plasma network performance. At the Plasma infrastructure level, it's crucial to continuously track key metrics like CPU utilization, memory usage, disk IOPS, and network bandwidth, as these directly impact Plasma node synchronization performance and Plasma block production stability. Setting up dynamic threshold alerts allows for timely intervention before Plasma resource usage reaches critical levels, preventing Plasma node service interruptions due to resource exhaustion.
Monitoring at the Plasma node software layer is equally important. Plasma operators must monitor Plasma client synchronization status, Plasma transaction pool capacity, and Plasma memory usage in real-time. For Plasma consensus nodes, special attention should be paid to Plasma validator participation rates and Plasma block production success rates. These Plasma metrics not only affect Plasma node profitability but also relate to the overall Plasma network's security and stability. Establishing Plasma performance baselines enables quick identification of abnormal Plasma node behavior, allowing for repairs before issues impact Plasma network participation.
Plasma network connection quality is another critical monitoring dimension. Plasma nodes need to maintain stable connections with other Plasma peers in the network; Plasma monitoring should include metrics like Plasma network latency, Plasma packet loss rate, and Plasma connection count. Particularly for Plasma nodes deployed across different regions, Plasma network path optimization can significantly improve Plasma block propagation efficiency. Plasma operators should establish multi-regional Plasma monitoring points to ensure Plasma node accessibility from various network environments.
In terms of Plasma operational automation, mature Plasma node operation teams establish complete automated Plasma operation systems. This includes automated Plasma node deployment, Plasma configuration management, Plasma certificate updates, and Plasma backup recovery processes. By adopting an Infrastructure as Code philosophy for Plasma, node configurations can be version-controlled, ensuring quick Plasma rollbacks and Plasma consistency. Additionally, developing detailed Plasma emergency response plans and conducting regular Plasma drills ensures rapid Plasma service recovery during severe Plasma node failures.
Note: The opinions expressed above are for sharing purposes only and do not constitute investment advice.
#Plasma  @Plasma $XPL

As Ethereum progresses toward Verkle Trees integration, Linea is actively developing its technical roadmap to ensure seamless compatibility. Verkle Trees, as next-generation data structures replacing Merkle Trees, will significantly optimize state verification through more efficient proof mechanisms, profoundly impacting Linea's proof generation and data compression capabilities.
The Linea team has initiated early-stage adaptation work focused on state proof generation efficiency and on-chain verification costs. Verkle Trees reduce proof size to less than one-tenth of traditional Merkle Proofs through vector commitment technology, directly decreasing Gas costs for proof submission to mainnet while accelerating cross-chain state synchronization.
Technically, Linea plans a phased compatibility upgrade: first optimizing proof generation algorithms to support Verkle Proof construction, then adjusting state tree structures for seamless interoperability with Ethereum mainnet. This process must maintain compatibility with existing smart contracts, preventing large-scale ecosystem migration due to underlying data structure changes.
Long-term, Verkle Trees integration will strengthen Linea's advantages in low fees and high throughput. Smaller proof volumes enable more transactions per batch, further enhancing network scalability. Additionally, Verkle Trees' support for stateless clients will lay foundation for Linea's light node development, improving decentralization.
Note: The opinions expressed above are for sharing purposes only and do not constitute investment advice.
#Linea  @Linea.eth $LINEA

The evolution of Morpho's lending markets has created the necessary conditions for sophisticated financial instruments, with interest rate swaps representing one of the most significant developments. These derivatives allow market participants to exchange fixed and floating rate exposures, creating new possibilities for risk management and yield enhancement within the DeFi ecosystem.
The foundation for these instruments lies in Morpho's robust interest rate discovery mechanism. The protocol's peer-to-pool architecture generates reliable, market-driven rates that serve as credible reference points for derivative contracts. Early implementations have focused on standardized swaps where users can fix their borrowing costs for predetermined periods, hedging against potential rate increases while maintaining access to Morpho's efficient lending markets.
What makes these developments particularly innovative is their native integration with Morpho's core protocol. Unlike traditional finance where derivatives exist as separate instruments, Morpho's interest rate swaps are embedded directly within the lending infrastructure. This integration eliminates counterparty risk through smart contract enforcement and ensures automatic settlement based on verifiable on-chain rate data.
The emergence of these derivatives has already begun influencing Morpho's primary markets. Institutional participants are showing increased interest in the protocol, attracted by the sophisticated risk management tools now available. Meanwhile, sophisticated traders are developing complex strategies that combine spot lending positions with derivative overlays, creating new sources of yield and liquidity.
Note: The opinions expressed above are for sharing purposes only and do not constitute investment advice.
#Morpho  @Morpho Labs 🦋  $MORPHO

YGG has established a comprehensive player feedback loop system that transforms community input into concrete operational improvements. This system comprises four key stages: collection, analysis, implementation, and feedback.
Feedback collection employs multiple channels. Beyond traditional surveys and community discussions, YGG has developed specialized feedback bots integrated into Discord and gaming platforms, allowing players to submit issues and suggestions in real-time during gameplay. Additionally, YGG hosts weekly "Community Office Hours" where core team members directly listen to player feedback.
During the analysis phase, YGG uses AI tools to automatically categorize and sentiment-analyze feedback content, identifying the most pressing issues and valuable suggestions. Community managers simultaneously conduct manual reviews to ensure no critical information is overlooked. This analytical process helps YGG convert vast amounts of community discussion into actionable improvement lists.
The implementation phase follows a clear prioritization mechanism. Based on impact scope and implementation difficulty, feedback is classified into urgent, important, and long-term categories. Urgent issues receive responses within 24 hours, important improvements are incorporated into monthly update plans, while long-term suggestions enter product roadmap discussions.
Finally, through regular community updates and transparency reports, YGG demonstrates how player feedback has been implemented. This closed-loop communication not only enhances players' sense of involvement but also encourages more community members to contribute ideas.
Note: The opinions expressed above are for sharing purposes only and do not constitute investment advice.
#YGGPlay @Yield Guild Games $YGG