QuantSignals FST vs TensorSharp

QuantSignals FST is a supervised AI trading agent that connects QS Research to risk-governed brokerage execution across web, desktop, CLI, iOS, and Android.

TensorSharp is a native .NET GGUF inference engine with a CLI, Web UI, compatible APIs, Agent Skills, and optional sandboxed model-authored code.

About QuantSignals FST

QuantSignals FST is a supervised AI trading agent that connects QS Research to risk-governed brokerage execution across web, desktop, CLI, iOS, and Android. FST connects proprietary QS Research signals to account-aware decisions, hard risk limits, order preview and approval, monitored execution, and a reviewable session record. QuantSignals FST is a supervised AI trading agent, not a promise of hands-off profits. The operating loop is screen, signal, trade, monitor, park, and learn. Every order is constrained by the selected account, certified broker capabilities, risk policy, preview, approval settings, and reconciliation.

About TensorSharp

TensorSharp is a native .NET GGUF inference engine with a CLI, Web UI, compatible APIs, Agent Skills, and optional sandboxed model-authored code. TensorSharp Wiki, Local GGUF inference and agentic work for .NET Skip to content. Everything runs on your own hardware : your laptop, workstation, or server. Inference and agent work stay local by default, there are no per-token fees, and the same engine powers a quick command-line test, a shared internal chatbot, and a production REST endpoint.