We Are Working On The Wild Market

We started as a grassroots, research-first initiative built on collaboration, risk-taking, and curiosity. Operating as a DAO, we brought together traders, analysts, developers, and creatives to navigate the volatile but opportunity-rich world of Web3.

— Formed an active Russian-speaking DAO community

— Built and managed high-risk crypto and NFT portfolios

— Collaborated with established DAOs and ecosystem players

— Delivered deep-dive research in macroeconomics, crypto trends, and NFT markets

— Provided consulting services and launched early experimental trading strategies

With growing expertise and community support, we expanded into multi-asset portfolio management, operated a "retro-hunting farm" for airdrops, ran validator nodes, refined our portfolio risk management and created educational content.

— Structured diversified portfolios for early-stage investors

— Developed educational content on trading, NFTs, and testnet farming

— Launched a large-scale airdrop farming program (Arbitrum, Optimism, Blur, Starknet, Aptos, Sui, LayerZero, ZkSync)

— Ran validator nodes, optimized reward flows, and refined portfolio risk management

As markets matured, so did we. We capitalized on the bear market by rotating capital into undervalued assets and began transitioning from manual to automated trading systems. Delved into analysis and research.

— Locked in profits, rebalanced our portfolios across tokens and NFTs

— Explored meme coin narratives through short-term trading models

— Began building internal tools for data analysis and real-time decision-making

— Began to delve deeper into the study of market making, complex forecasting and trading models

This year laid the foundation for systematic experimentation and cross-market strategy design.

Today, we are constructing the technical and strategic backbone of our vision: designing auto-trading strategies, scaling research into production-grade trading models, and launching infrastructure for low-latency execution.

— Building a proprietary algorithmic market-making fund

— Designing automated trading strategies: statistical arbitrage, basket trading, mean reversion, spread capture, "knife catching",а та etc

— Scaling internal research into production-grade trading models

— Launching infrastructure to support low-latency execution and deep market integration

Full deployment of our autonomous algorithmic trading fund with cross-market capabilities. Integration of machine learning models for predictive signals and expansion of asset coverage to emergent markets.

Scaling our market making operations across multiple venues and asset classes. Building infrastructure for external capital allocation with institutional-grade risk management and compliance systems.