luaqnyin

A Stock Paper Trade

Professionalv1.0.1
By luaqnyinUpdated 2026-05-112 versions · latest released 2026-04-10a-stock-paper-trade@clawhub_luaqnyin/a-stock-paper-trade
Finance#Stock

According to AlphaMoat, as of 2026-09, A Stock Paper Trade has 4,740 downloads and 0 stars — ranked #1,993 of 5,078 AI skills overall, and #169 of 465 in Professional.

Installs
101
Downloads
4.7K
Stars
-
Overall Rank
#1,993
Top 40% overall · Top 37% in Professional
PlatformInstallsDownloadsStarsComments
ClawHub ↗1013.1K--
SkillHub ↗984.7K-—

Platforms count differently and update at different times.

What this skill does

Trades are simulated rather than submitted to a real market, but the tool reads and writes a local portfolio file. Quotes require network access and are only valid during trading hours; the source warns that off-hours data may be inaccurate.

Profile published 2026-10-29

What you can do with it

  • Practice simulated buy/sell and position-review flows.
  • Check quotes, history, or price-movement rankings.
  • Review simulated fees and local data-storage behavior.

When to use it

  • When practicing an A-share paper-trading workflow.
  • When viewing quotes, simulated positions, or transaction history.
  • When checking data freshness, fee assumptions, and local-file effects.

Example prompts

Generated from the skill’s documentation as examples; not results of actual runs.

Summarize this tool’s simulated-trading features, data source, and limitations.
List checks to make before practicing trades in a simulated account.

Monthly Trend

Downloads4.7K
02.5K5.1K2026-03 · Downloads 3142026-05 · Downloads 2.4K2026-06 · Downloads 2.6K2026-07 · Downloads 2.9K2026-08 · Downloads 3.1K2026-09 · Downloads 4.7K26-0326-09
Stars-
0112026-03 · Stars -2026-05 · Stars -2026-06 · Stars -2026-07 · Stars -2026-08 · Stars -2026-09 · Stars -26-0326-09

The counting method changed in 2026-09: skills with the same name are now counted separately by author, and the full catalog is covered. Dashed lines show months before the change; they are not compared with later months, and no growth is computed across the change.

MonthDownloadsMoMStars
2026-094.7K—-
2026-083.1K+5.7%-
2026-072.9K+11.8%-
2026-062.6K+10.4%-
2026-052.4K—-
2026-03314—-

SKILL.md (original)

The author’s original file, shown as plain text without edits or review by AlphaMoat. Links are not clickable; check commands before running them. Fetched 2026-10-23.

2.4 KB · ClawHub v1.0.1
---
name: a-stock-paper-trade
description: A股模拟炒股系统。当用户需要模拟炒股、查询行情、买卖下单、查看持仓盈亏时触发。支持实时行情、买卖下单、持仓管理、盈亏计算、涨跌排行。关键词:炒股、买入、卖出、持仓、盈亏、行情、涨停、跌停、选股、大盘。
metadata:
  {
    "openclaw":
      {
        "requires": { "bins": ["python3"] },
        "os": ["darwin", "linux", "win32"]
      }
Show all (90 lines)
  }
---

优化日期: 2026-04-02

# A股模拟炒股

本地纸面交易系统,基于 akshare 实时行情。无需任何外部账号,纯模拟。

## 快速开始

```bash
# 初始化账户(100万虚拟资金)
source ~/.agent-reach-venv/bin/activate
python3 {baseDir}/scripts/trader.py init

# 查大盘
python3 {baseDir}/scripts/trader.py quote --all

# 查个股行情
python3 {baseDir}/scripts/trader.py quote 600519 000001

# 搜索股票
python3 {baseDir}/scripts/trader.py search 茅台

# 买入(1手=100股,市价)
python3 {baseDir}/scripts/trader.py buy 600519 1

# 买入(指定价格)
python3 {baseDir}/scripts/trader.py buy 600519 2 --price 1700

# 卖出
python3 {baseDir}/scripts/trader.py sell 600519 1

# 查持仓
python3 {baseDir}/scripts/trader.py positions

# 账户总览
python3 {baseDir}/scripts/trader.py balance

# 交易记录
python3 {baseDir}/scripts/trader.py history --limit 10

# K线
python3 {baseDir}/scripts/trader.py kline 600519 --days 60

# 涨幅TOP10
python3 {baseDir}/scripts/trader.py rank --top 10

# 跌幅TOP10
python3 {baseDir}/scripts/trader.py rank --bottom --top 10
```

## 交易规则

- 最小单位:1手 = 100股
- 佣金:万三(最低5元)
- 印花税:千一(仅卖出)
- 不支持涨跌停价格下单(但当前版本未强制校验,agent 应自行判断)
- 数据来源:东方财富(akshare),仅交易时间内有效

## 费用计算

| 费用 | 买入 | 卖出 |
|------|------|------|
| 佣金 | 万三(最低5元) | 万三(最低5元) |
| 印花税 | — | 千一 |
| 过户费 | — | 忽略(模拟简化) |

## 数据存储

- 位置:`~/.openclaw/paper-trade/portfolio.json`
- 重置:`python3 {baseDir}/scripts/trader.py init --reset`

## 注意

- 行情数据来自 akshare,依赖网络(不需要代理,东方财富国内直连)
- 非 A 股交易时间行情可能不准确
- 所有操作输出 JSON,方便 agent 解析

Popular in Professional

Data month: 2026-09 · Downloads, stars and installs are aggregated monthly from public skill registries (ClawHub, SkillHub). See methodology.