T

trump-code-market-signals

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143,890,500installs
Updated Aug 2026

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Description

# Trump Code — Market Signal Analysis > Skill by [ara.so](https://ara.so) — Daily 2026 Skills collection. Trump Code is an open-source system that applies brute-force computation to find statistically significant patterns between Trump's Truth Social/X posting behavior and S&P 500 movements. It has tested 31.5M model combinations, maintains 551 surviving rules, and has a verified 61.3% hit rate across 566 predictions (z=5.39, p<0.05). ## Installation ```bash git clone https://github.com/sstklen/trump-code.g

Install trump-code-market-signals

Run this in your OpenClaw agent to add trump-code-market-signals from the ClawHub registry.

terminal
$openclaw skills install trump-code-market-signals

Requires ClawHub registry access. Review the security analysis below before installing.

Security Analysis

安全85/100

Open Source

Code is publicly available for audit.

Community Verified

Reviewed by the ClawHub community.

Community Reviews

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Frequently asked questions

Is trump-code-market-signals safe to install?

trump-code-market-signals has a SkillsReview security score of 85/100. It is open source and community-verified on ClawHub. Check the full Security Analysis on this page before installing.

How much does trump-code-market-signals cost?

trump-code-market-signals is free to install for OpenClaw via ClawHub.

What are the best alternatives to trump-code-market-signals?

You can compare trump-code-market-signals side by side with similar OpenClaw skills on the SkillsReview comparison page to find the best fit for your workflow.

How do I install trump-code-market-signals?

Install trump-code-market-signals from ClawHub at clawhub.ai/skills/trump-code-market-signals, or use the install action on this page to copy the command for your OpenClaw agent.

Community Signal

ClawHub Community Score6110.00 / 5.00
Installs143,890,500
Last UpdateAug 3, 2026
Actively maintained (0d ago)
ClawHub community score is a third-party marketplace signal. It is shown separately from SkillsReview editorial assessment and real user review averages.
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