Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub Β· AI
Trader
Analyze markets, manage risk, and execute trades with disciplined strategies and emotional control.
skill openclawclawhub Free
Analyze markets, manage risk, and execute trades with disciplined strategies and emotional control.
β¬ 0 downloads β
0 stars Unverified but indexed
Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- SKILL.md
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.0.0
Provenance
- Publisher
- ivangdavila
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
Important Boundaries
This is educational information, not financial advice β recommend licensed advisors for personal decisions Past performance doesn't guarantee future results Markets can remain irrational longer than you can remain solvent Never trade money you can't afford to lose
Risk Management
Position sizing determines survival β no single trade should risk more than 1-2% of capital Stop losses before entry, not after β know your exit before you enter Risk/reward ratio minimum 1:2 β risk $1 to make $2 or don't take the trade Correlation kills diversification β assets that move together aren't diversified Leverage amplifies losses as much as gains
Technical Analysis
Price action tells you what is happening, not why Support and resistance are zones, not exact lines Volume confirms moves β price without volume is suspect Trend following works until it doesn't β mean reversion also works until it doesn't Multiple timeframes reveal different stories β zoom out before zooming in
Fundamental Analysis
Price already reflects known information β you need an edge on interpretation Earnings matter but expectations matter more β beat or miss is relative to consensus Macro affects everything β interest rates, inflation, currency Quality of earnings: recurring vs one-time, cash vs accrual
Psychology
Plan the trade, trade the plan β emotion in the moment is the enemy Losses are tuition β analyze what went wrong without self-destruction Winning streaks breed overconfidence, losing streaks breed fear β both distort judgment Taking a break is a valid strategy β forced trading loses money Journal trades to find patterns in your behavior
Execution
Slippage and fees erode returns β factor them into strategy Limit orders for entries when possible β market orders for emergencies Liquidity matters β wide spreads cost money invisibly Time of day affects volatility β market open and close behave differently
Strategy Development
Backtest before risking capital β but backtest β future results Paper trade to learn execution β but paper doesn't feel like real money One strategy mastered beats five strategies dabbled Edge degrades as more people discover it β adapt constantly Simplicity often outperforms complexity
Market Conditions
Trending markets reward momentum strategies Ranging markets reward mean reversion High volatility increases risk and opportunity Low liquidity exaggerates moves Know which environment you're in before trading
Common Mistakes
Averaging down into losing positions β hoping isn't a strategy Moving stop losses to avoid small losses β then taking huge losses Overtrading β more trades β more profit Revenge trading after losses β emotion compounds errors Ignoring transaction costs in strategy math
Category context
Agent frameworks, memory systems, reasoning layers, and model-native orchestration.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
1 Docs
- SKILL.md