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Offload a heavy backtest or training job v1.0.0
Use this resource to run a market computation too heavy for your machine in the cloud
New
- 493 downloads
- 205 likes
- 110 saves
Free
Install with the CLI
In a terminal, from the folder you want:
npx --yes palatekit@latest install cloud-backtest-training-jobWith no option, the skill goes to ~/.agents/skills/; add --agent claude-code (or codex, cursor…) to target an agent.
First time: connect the CLI with
npx --yes palatekit@latest loginThe agent decides whether the job should go to the cloud: multi-year walk-forward, large simulation counts, parameter sweeps or model training. It sends the work to a managed agent, tracks its status and records the metrics and cost. The cost rules must be followed before each submission.
Mostly picked by
Updated November 2, 2026
Previews
Details
- Install guides
- Generates with
- Your agent's model
- Licence
- MIT
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What you get
- SKILL.md: local-versus-cloud criteria and submission steps
- SKILL.md: cost rules to follow before launch
Good fit for
- A multi-year backtest is too slow locally
- You want to train a model without tying up your machine
Not for
Tags
- cloud
- backtest
- training
- cost
About
You say
“Send the ten-year walk-forward of this strategy to the cloud and report the metrics.”
Skill published by ruvnet under the MIT license, delivered in its original version.
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How to use it
- Install the skill in your agent's skills folder
- Ask your agent to run a market computation too heavy for your machine in the cloud
- Review and adjust the result
Content preview
Files
- LICENSE1.1 KB
- NOTICE-PALATEKIT.md0.5 KB
- SKILL.md7.2 KB
Origin and licence
Listed unmodified
- Author
- ruvnet
- Source
- github.com/ruvnet/ruflo/tree/89b0cd02dd99ea1f63437fde6c05992ec53cc22b/plugins/ruflo-neural-trader/skills/trader-cloud-backtest
- Licence
- MIT
Notice
« trader-cloud-backtest » (ruvnet, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.
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