交易日志 CSV 数据分析工具。自动分析交易记录 CSV 文件,计算胜率、盈亏比、最大回撤、Sharpe Ratio 等量化指标并生成可视化报告。当需要分析交易绩效、优化策略参数或生成交易报告时使用此 Skill。
Install with Tessl CLI
npx tessl i github:Lingjie-chen/MT5 --skill csv-data-summarizer74
Quality
61%
Does it follow best practices?
Impact
94%
1.20xAverage score across 3 eval scenarios
Optimize this skill with Tessl
npx tessl skill review --optimize ./.trae/skills/csv-data-summarizer/SKILL.mdMT5 CSV basic metrics and report template
Win Rate formula
100%
100%
Profit Factor formula
100%
100%
Avg R:R formula
20%
100%
Expectancy formula
50%
100%
Overview section
100%
80%
Core Metrics table
50%
100%
Metric ratings
30%
100%
Symbol Performance section
100%
100%
Improvement Suggestions section
100%
100%
Visual output
100%
100%
Without context: $0.5802 · 2m 33s · 18 turns · 137 in / 9,457 out tokens
With context: $0.8155 · 3m 34s · 26 turns · 227 in / 13,033 out tokens
Risk control and advanced performance metrics
Max DD formula
100%
100%
Max DD Duration
70%
100%
Max Consecutive Losses
100%
100%
Max Single Loss
0%
100%
Sharpe Ratio formula
100%
100%
Sortino downside deviation
100%
58%
Calmar Ratio formula
100%
100%
Recovery Factor formula
0%
100%
Rating thresholds
100%
100%
Core Metrics table
70%
100%
Without context: $0.7543 · 3m 34s · 17 turns · 137 in / 14,923 out tokens
With context: $1.2266 · 5m 27s · 28 turns · 209 in / 21,214 out tokens
Multi-dimensional custom CSV analysis
Custom format parsed
100%
100%
Per-symbol win rate
100%
100%
Per-symbol profit factor
0%
100%
Per-symbol profit contribution
100%
100%
Best and worst trade per symbol
0%
0%
ORB vs Grid comparison
100%
100%
Risk Tier breakdown
100%
100%
Time period aggregation
100%
100%
Trading frequency trend
100%
100%
Improvement Suggestions
100%
100%
Without context: $0.4320 · 1m 55s · 13 turns · 146 in / 7,674 out tokens
With context: $0.6127 · 2m 43s · 17 turns · 114 in / 11,137 out tokens
Table of Contents
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.