We envision a future of super intelligent autonomous investing. In this world, artificial intelligence enhances financial decision making to drive superior returns to current methods. Silk Hedge Fund identifies ineffable patterns, manages risk, and executes strategies with precision. Above all, our system leads to more, not less, financial oversight and accountability.
Silk Hedge Fund is building an autonomous, AI-first investment system to deliver a step function change in the accuracy of decision architectures across financial markets. We are creating the infrastructure for truly autonomous wealth generation, with a first principles approach for ML and LLM capabilities to replace traditional investment workflows.
The reality is that the infrastructure to build truly autonomous investment systems does not exist yet. As sophisticated as AI is today, many core challenges in investment management remain. While some gaps might be temporarily filled with conventional approaches, they will ultimately only be addressed with long horizon AI architectures and autonomous decision frameworks built for full vertical integration.
Traditional funds rely on human intuition and manual processes, leading to emotional biases and inefficiencies. Human decision making will no longer be competitively viable in financial markets. In the future, outsized returns will be made from an ineffable understanding of market direction. Imagine Warren Buffett's decision-making heuristics encoded as a living, adaptive system-continuously learning, adjusting, and executing through LLMs.
Silk Hedge Fund uses an internal benchmarking tool to maximize it's investment intelligence potential. A perpetual feedback loop within a risk-managed architecture. We believe this is the only way to reach the combination of returns, scale, and autodidactic capability necessary for next-generation wealth management. Building zero employee investment funds is something that will seem obvious in retrospect.
Work with SHF
We are building the infrastructure for autonomous wealth generation and pioneering new domains in finance, ML, and AI. We are looking to bring on founding members who have backgrounds in quantitative finance, ML/LLMs, infra/agentic systems engineering, and risk engineering to help define how the future of AI and finance intersect.
- Alek Turkmen, Liu Yanchen
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