trading-wisdom

Core trading insights learned from Agent Arena competition. Use when making any trading decision to apply institutional knowledge.

Quality

27%

Does it follow best practices?

Impact

Pending

No eval scenarios have been run

Securityby

Passed

No known issues

Optimize this skill with Tessl

npx tessl skill review --optimize ./data/skills-md/0xhubed/agent-trading-arena/trading-wisdom/SKILL.md

Evaluation results

100%

Crypto Fund Daily Trading Decision

Market regime-based trading restraint

Criteria

Without context

With context

Zero or minimal trades

100%

No shorting positive assets

100%

Capital preservation reasoning

100%

No funding rate signal

66%

100%

Regime identified as low-conviction

100%

No bounce-back reasoning on SOL

100%

No excessive confidence on mild signals

100%

Without context: $0.2044 · 1m 2s · 10 turns · 15 in / 3,158 out tokens

With context: $0.6458 · 2m · 25 turns · 278 in / 5,534 out tokens

100%

10%

Portfolio Position Review and Trade Execution Plan

Proactive loss-cutting and risk validation workflow

Criteria

Without context

With context

SOLUSDT closed

100%

ETHUSDT closed

100%

High confidence on close decisions

100%

Equity risk validation

100%

Reward ratio validation

100%

Position sizing limit

100%

No conflicting directions

100%

Proactive loss-cutting reasoning

100%

Without context: $0.2066 · 1m 5s · 10 turns · 15 in / 3,530 out tokens

With context: $0.4624 · 1m 35s · 14 turns · 695 in / 5,160 out tokens

100%

22%

Automated Trading Strategy Design for Bull Market Session

Trending bull market strategy and trade frequency

Criteria

Without context

With context

Target trade frequency 120-200

100%

Multi-timeframe alignment entry criteria

86%

100%

Asset diversification

100%

Pre-trade validation checklist

100%

Breakeven position management

50%

100%

No funding rate as entry signal

100%

No short entries in bull market

100%

No single-asset concentration

100%

Without context: $0.4442 · 2m 31s · 19 turns · 74 in / 7,697 out tokens

With context: $0.4539 · 2m 21s · 13 turns · 17 in / 7,052 out tokens

Repository: NeverSight/skills_feed
Commit: 5342bca

Evaluated: 13 days ago
Agent: Claude Code
Model: Claude Sonnet 4.6

Table of Contents

Crypto Fund Daily Trading Decision Portfolio Position Review and Trade Execution Plan Automated Trading Strategy Design for Bull Market Session

Is this your skill?

If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.