trade-journal

trade-journal is a skill for Claude Code, Codex from skloxo/TideTrading. It costs 64 tokens per session (2,277 once invoked), scanned A, a copy of trade-journal, MIT.

A trade-journal analysis workflow for CSV or Excel broker exports from platforms such as Tonghuashun, Eastmoney, and Futu. It calculates your trading profile and looks for four behaviours: selling winners too soon, overtrading, chasing price moves, and anchoring to an earlier price.

In plain words
What is it for?
Use it to review holding periods, trading frequency, win rate, profit and loss, drawdown, favourite symbols, time patterns, and behavioural biases.
Why use it?
It replaces vague impressions about your trading with evidence from your own records. You can see which habits are present and how serious they appear.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to review holding periods, trading frequency, win rate, profit and loss, drawdown, favourite symbols, time patterns, and behavioural biases.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/skloxo/tidetrading/trade-journal
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add skloxo/TideTrading --skill trade-journal
Clone the repo
git clone --depth 1 https://github.com/skloxo/TideTrading

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for trade-journal

README.md
[![agentmods](https://agentmods.dev/badge/skills/skloxo/tidetrading/trade-journal/github.svg)](https://agentmods.dev/skills/skloxo/tidetrading/trade-journal)
Your own site
<a href="https://agentmods.dev/skills/skloxo/tidetrading/trade-journal"><img src="https://agentmods.dev/badge/skills/skloxo/tidetrading/trade-journal/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for trade-journal

Your own site · 80×15
<a href="https://agentmods.dev/skills/skloxo/tidetrading/trade-journal"><img src="https://agentmods.dev/badge/skills/skloxo/tidetrading/trade-journal.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 64 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,277 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 100% copy Near-identical to another mod in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00064 $0.02277
Opus 5 $0.00032 $0.01138
Sonnet 5 $0.00013 $0.00455
Haiku 4.5 $0.00006 $0.00228

Measured 7d ago against content hash 183774bbcaa5, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

trade-journal scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 7d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

This is a copy

100% identical to trade-journal — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

agent/src/skills/trade-journal/SKILL.md · 214 lines

How it starts

The opening of the file, as written. The whole thing — 214 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Trade Journal Analysis

Purpose

Users upload broker exports (交割单) and get an honest, data-grounded portrait of their own trading. Two layers are live:

  • Profile — holding days, frequency, win rate, PnL ratio, cumulative PnL, max drawdown, top symbols, market/hourly distribution.
  • Behavior diagnostics — 4 biases, each with severity (low/medium/high) and numeric evidence: disposition effect, overtrading, chasing momentum, anchoring.

Strategy extraction → backtest bridge lands in Phase 4c.

Supported formats (auto-detected):

  • 同花顺 (Tonghuashun) — A-share CSV, typically GBK-encoded
  • 东方财富 (Eastmoney) — A-share CSV, typically GBK-encoded
  • 富途 (Futu) — HK/US CSV, UTF-8
  • Generic — any CSV with columns like datetime/symbol/side/qty/price

Usage

Call the analyze_trade_journal tool directly. Never run Python from bash.

analyze_trade_journal(file_path="uploads/xxx.csv")
analyze_trade_journal(file_path="uploads/xxx.csv", analysis_type="profile")
analyze_trade_journal(file_path="uploads/xxx.csv", filter_expr="2026-01 to 2026-03")
analyze_trade_journal(file_path="uploads/xxx.csv", filter_expr="symbol=600519.SH")
analyze_trade_journal(file_path="uploads/xxx.csv", filter_expr="market=china_a")

analysis_type:

  • full (default) — profile + behavior (strategy still placeholder)
  • profile — profile metrics only (fastest)
  • behavior — 4 behavior diagnostics only
  • strategy — Phase 4c placeholder

filter_expr (optional):

  • Date range: "YYYY-MM to YYYY-MM" or "YYYY-MM-DD to YYYY-MM-DD"
  • Symbol: "symbol=600519.SH" (exact match on qualified symbol)
  • Market: "market=china_a|us|hk|crypto"

Return shape (profile subset)

{
  "status": "ok",
  "file": "xxx.csv",
  "format_detected": "tonghuashun",
  "total_records": 326,
  "date_range": "2026-01-06 ~ 2026-03-28",
  "symbols_count": 42,
  "market": "china_a",
  "profile": {
    "total_trades": 326,
    "total_roundtrips": 118,
    "avg_holding_days": 3.2,
    "trade_frequency_per_week": 4.1,
    "win_rate": 0.48,
    "profit_loss_ratio": 1.35,
    "total_pnl": 18240.55,
    "max_drawdown": -9820.10,
    "top_symbols": [{"symbol": "600519.SH", "trades": 14, "total_amount": 1.02e6}, ...],
    "market_distribution": {"china_a": 326},
    "hourly_distribution": {9: 52, 10: 84, ...},
    "roundtrips_sample": [{"symbol": "600519.SH", "buy_dt": "...", "sell_dt": "...", "pnl": 3400.1, "pnl_pct": 0.021, "hold_days": 2.5}, ...]
  }
}

Read the full file on GitHub · 214 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 7d ago First seen · 214 lines · 64 tokens per session scan A 183774bbcaa5

Subscribe to this mod's changes

trade-journal is a skill published in the GitHub repository skloxo/TideTrading (10 stars, last pushed 4d ago), licensed MIT. It adds 64 tokens to every session and 2,277 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to trade-journal, differing in 0 lines, and is treated as a copy.

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