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RoboNet

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@robonet-tech

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8Published Skills

Offers quantitative infrastructure for designing, backtesting, and deploying algorithmic trading strategies across crypto and prediction market venues.

Skills Distribution
DomainBusiness, Fi...Quantitative Tradi.. (40%)Backtesting & Perf.. (30%)Live Market Execut.. (30%)

Agent Skills by RoboNet

Showing 8 vetted skills indexed across 1 GitHub repositories.

Frequently Asked Questions About RoboNet

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What specific trading tasks does RoboNet enable?

RoboNet enables the end-to-end lifecycle of quantitative trading, including strategy conceptualization, historical backtesting, performance optimization using Allora signals, and live execution on Hyperliquid and Polymarket platforms.

Which personas benefit from using these trading capabilities?

Quantitative researchers, algorithmic traders, and financial engineers benefit from these capabilities. The platform is designed for users who need to translate market data into executable code using the Jesse framework for crypto and prediction market environments.

What are the prerequisites for deploying live trading strategies?

Deployment requires an active Hyperliquid account and a validated strategy generated through the workbench. Users must ensure their strategy includes defined entry, exit, and risk management methods before passing the pre-deployment validation checks.