Cryptocurrency trading has attracted tremendous attention from both retail and institutional investors. However, most traders fail to scale their assets under management due to fragile strategies that collapse during adverse markets. The primary causes are oversized leverage, speculative position sizing, and the absence of robust risk management or hedging mechanisms. This paper introduces Talyxion, an end to end framework for crypto portfolio allocation that shifts the paradigm from speculation to optimization. The proposed pipeline consists of four stages: universe selection, alpha backtesting, volatility aware portfolio optimization, and dynamic drawdown based risk management. By combining operations research techniques with practical risk controls, Talyxion enables scalable crypto portfolios that can withstand market downturns. In live 30 day trading on Binance Futures, the framework achieved a return on investment (ROI) of +16.68%, with the Sharpe ratio reaching 5.72 and the maximum drawdown contained at just 4.56%, demonstrating strong downside risk control. The system executed 227 trades, of which 131 were profitable, resulting in a win rate of 57.71% and a PnL of +1,137.49 USDT. Importantly, these results outperformed the buy and hold baseline (Sharpe 1.79, ROI 4.36%, MDD 4.96%) as well as several top leader copy trading bots on Binance, highlighting both the competitiveness and scalability of Talyxion in real world trading environments.

翻译：加密货币交易已吸引了零售和机构投资者的极大关注。然而，大多数交易者因策略脆弱、在不利市场条件下崩溃而未能扩大其管理资产规模。主要原因是过高的杠杆、投机性的头寸规模设定，以及缺乏稳健的风险管理或对冲机制。本文提出Talyxion，一种端到端的加密货币投资组合配置框架，将范式从投机转向优化。该流程包含四个阶段：资产池选择、阿尔法回测、波动率感知的投资组合优化，以及基于动态回撤的风险管理。通过将运筹学技术与实际风险控制相结合，Talyxion实现了可扩展且能抵御市场下行的加密货币投资组合。在币安期货的30天实盘交易中，该框架实现了+16.68%的投资回报率，夏普比率达5.72，最大回撤仅控制在4.56%，展现出强大的下行风险控制能力。系统共执行227笔交易，其中131笔盈利，胜率为57.71%，盈亏为+1,137.49 USDT。重要的是，这些结果均优于买入并持有基准策略（夏普比率1.79，投资回报率4.36%，最大回撤4.96%）以及币安上多个顶尖跟单交易机器人，凸显了Talyxion在真实交易环境中的竞争力和可扩展性。