⚠️Install with caution. This skill has very few installs. Always review the source and verify it on clawhub.ai before installing. Community-built skills run with agent permissions — only install ones you trust.

💹 Market & Finance Data

Trading Brainv1.0.0

Name: Trading Brain
Author: travislius

trading-brain

travislius

Load Travis's personal trading strategy and rules to guide aggressive trades, focusing on early-stage next-wave market opportunities and strict risk limits.

latest

Download Package View on ClawHub

Installs (all time)

Installs (current)

Downloads

2.7K

Stars

CreatedFeb 27, 2026

UpdatedMay 18, 2026

Install & Quick Start

Install via ClawdBot CLI:

clawdbot install travislius/trading-brain

Skill Package1 files

📋SKILL.mdmarkdown

Failed to load file.

Quality Score

B63/100

Grade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.

Market Validation12/35

· 6 installs (low)
· 881 downloads (moderate demand)

Documentation20/25

· SKILL.md present
· Detailed documentation (≥3000 chars)
· Contains usage examples or trigger description
· Detailed summary

Package Completeness6/15

· skillAssets present (0 files)

💡

Usage Guide

Generated Mar 20, 2026

Retail traders seeking aggressive growth strategiesInvestment analysts focusing on early-stage sector opportunitiesadvanced

💡 Application Scenarios

Pre-Market Trading AnalysisFinance and Investment

A trader uses the skill to load Travis's strategy before market open, scanning Serper for breaking news and X/Twitter for sentiment to identify early entry signals like geopolitical shifts or earnings surprises, aiming to execute news trades with strict risk management.

Next-Wave Investment ResearchTechnology and Infrastructure

An analyst invokes the skill to research undervalued sectors like power infrastructure or cybersecurity, applying the 3-Act Framework to find Act 1 opportunities by analyzing upstream dependencies of hot trends such as AI, and updating candidate lists in designated files.

Mid-Day Cron Decision MakingTrading and Portfolio Management

During a mid-morning cron, a user loads the skill to review current positions from Alpaca, check Polymarket for odds shifts over 10%, and assess social media momentum to decide on hold or adjust trades, ensuring compliance with max drawdown and position limits.

Sector-Specific Macro BetMacroeconomic Trading

A trader uses the skill to analyze policy announcements like Fed rate changes or trade war signals from SCMP/FT, identifying macro bets to hold for weeks based on clear market impact, while monitoring risk per trade and portfolio concentration rules.

Weekly Next-Wave Task ExecutionStrategic Research and Development

As part of a weekly routine, the skill is invoked to scan big tech capex announcements and supply chain reports, asking what current hot trades need that isn't priced in, and updating next-wave candidates in memory files for future trading decisions.

💼 Business Models

Subscription-Based Trading Signal ServiceMonthly subscription fees ranging from $50 to $500 per user

Offer access to Travis's curated next-wave candidates and real-time alerts from scanned sources like Serper and Polymarket, with tiered subscriptions for retail traders seeking an information scale advantage, generating revenue from monthly fees.

Automated Trading Bot IntegrationLicensing fees or profit-sharing models, e.g., 20% of net gains

Develop a bot that integrates the skill's rules and signals into automated trading platforms, using APIs to execute trades based on entry signals and risk management, with revenue from licensing fees or a percentage of profits for users.

Educational Content and ConsultingCourse sales at $200-$1000 and consulting at $150 per hour

Create courses and consulting services teaching the 3-Act Framework and information scale techniques, including live analysis sessions and personalized strategy reviews, monetized through one-time payments or ongoing coaching packages.

💬 Integration Tip

Ensure the skill is invoked at session start to load all rules and mental models, and regularly update config files like config.yaml and memory trackers to align with current positions and market conditions.