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deep-research

量化交易市场深度研究工具。支持宏观经济分析、技术面研究、资产相关性分析和市场微观结构研究。当需要进行深度市场调研、分析经济数据影响或研究新交易品种时使用此 Skill。

Install with Tessl CLI

npx tessl i github:Lingjie-chen/MT5 --skill deep-research
What are skills?

71

1.48x

Quality

58%

Does it follow best practices?

Impact

89%

1.48x

Average score across 3 eval scenarios

Optimize this skill with Tessl

npx tessl skill review --optimize ./.trae/skills/deep-research/SKILL.md
SKILL.md
Review
Evals

Evaluation results

91%

35%

Multi-Asset Portfolio Risk Exposure Analysis

Asset correlation analysis

Criteria
Without context
With context

Pearson correlation matrix

100%

100%

Strong positive threshold

50%

100%

Strong negative threshold

75%

100%

Rolling-window stability

100%

100%

Basket concentration risk

100%

100%

Hedging/diversification opportunities

100%

100%

XAUUSD vs DXY correlation

100%

100%

Required JSON schema

0%

60%

findings.correlations populated

0%

70%

Confidence level

0%

100%

action_recommendation

0%

80%

Without context: $0.6916 · 5m 14s · 22 turns · 169 in / 12,045 out tokens

With context: $0.6013 · 4m 51s · 15 turns · 98 in / 12,969 out tokens

100%

39%

Weekly Macro Research Briefing for Gold Positions

Weekly macro research template

Criteria
Without context
With context

Economic data calendar

100%

100%

Central bank policy

100%

100%

Core factors for current position

100%

100%

Black Swan risk assessment

100%

100%

research_type field

25%

100%

findings.macro_outlook

0%

100%

findings.risk_events

0%

100%

timestamp format

37%

100%

symbol field

50%

100%

Confidence level

50%

100%

action_recommendation

75%

100%

Market sentiment indicators

66%

100%

Without context: $3.4009 · 12m 1s · 15 turns · 97 in / 13,939 out tokens

With context: $1.3867 · 9m 39s · 27 turns · 204 in / 9,808 out tokens

77%

12%

Institutional-Grade Technical Analysis: EURUSD Pre-Event Setup

Technical SMC analysis

Criteria
Without context
With context

H1 trend analysis

100%

100%

M15 structure analysis

0%

0%

M5 entry analysis

0%

0%

Order Blocks (OB)

100%

100%

Fair Value Gaps (FVG)

100%

100%

BOS or CHoCH

100%

100%

Liquidity Pools

100%

100%

Volatility indicators

100%

100%

Volume-price analysis

100%

100%

findings.technical_structure

0%

41%

Confidence level

50%

100%

findings.trading_implications

62%

100%

Without context: $0.6245 · 6m 29s · 18 turns · 121 in / 13,110 out tokens

With context: $0.4946 · 9m 50s · 17 turns · 356 in / 5,126 out tokens

Evaluated
Agent
Claude Code
Model
Claude Sonnet 4.6

Table of Contents

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.