T+0回转交易/日内做T助手

SkillDev tools

Once added, your AI can work through A-share intraday rotation trades (做T): it finds potential opportunities, works out the profit or cost of each move, and helps you refine the approach over time. It draws on A-share market data from cn-stock-data, and you can ask for a formal write-up or a short brief. Simply mention 做T, T+0, or 高抛低吸 in a chat and it takes over.

Available today. Use it from your connected AI after setup.

Add the skill, then ask your AI about 做T or T+0 for a stock you follow and say whether you want formal or brief output. It will pull A-share data through cn-stock-data and cover the opportunity, the expected return, and any strategy adjustments.

Then ask your AI: use the T+0回转交易/日内做T助手 skill

What your AI can do with it

  • Identify intraday T+0 (做T) opportunities on A-shares
  • Calculate the expected return of each rotation trade
  • Suggest adjustments to improve your rotation strategy
  • Pull the underlying market data through cn-stock-data
  • Answer in a formal report or a brief summary, whichever you ask for
  • Activate when you say 做T, T+0, 回转交易, 底仓做T, 高抛低吸, or 日内差价

What this skill tells your AI

The instructions your AI receives, as published by aifinlab/finclaw in skills/a-share-t0-rotation/SKILL.md and read by ahel’s review.

数据获取

通过 cn-stock-data skill 获取数据:

  • 分钟K线: 1分钟/5分钟线
  • 实时行情: 最新价格与盘口
  • 历史日内振幅: 用于评估做T空间

分析工作流

Step 1: 做T空间评估

  • 日内振幅 = (最高价 - 最低价) / 开盘价
  • 历史平均日内振幅:评估做T的收益空间
  • 扣除交易成本后的净做T空间
  • 振幅分位数:当前振幅是否足够做T

Step 2: 做T时机识别

  • 正T(先买后卖):底仓持有,低点加仓→高点卖出底仓
  • 反T(先卖后买):高点卖出底仓→低点买回
  • 分时支撑压力位:VWAP/均线/前高前低
  • 成交量配合:缩量回调买入,放量冲高卖出

Step 3: 做T成本计算

  • 佣金:买卖各一次,通常万1.5-万3
  • 印花税:卖出千1(单边)
  • 滑点:预估0.05-0.1%
  • 盈亏平衡振幅 = 2×佣金 + 印花税 + 滑点 ≈ 0.2-0.3%

Step 4: 做T策略优化

  • 最优做T标的:高振幅+高流动性+低波动率方向性
  • 最优做T时段:10:00-11:00 和 13:30-14:30
  • 仓位管理:做T仓位不超过底仓的50%
  • 止损规则:做T亏损超过0.5%立即止损

Step 5: 输出报告

输出格式

formal 风格(研报级)

# [标的] T+0回转交易分析报告

## 一、做T空间评估
| 指标 | 数值 | 评估 |
|------|------|------|
| 平均日内振幅 | 3.2% | 空间充足 |

## 二、今日做T机会
[支撑压力位、买卖时点]

## 三、成本与收益
[交易成本、预期净收益]

## 四、策略建议
[正T/反T选择、仓位建议]

brief 风格(快速分析)

## [标的] 做T速览
- 平均日内振幅 3.2%,净做T空间约2.9%
- 当前价位接近VWAP下方,正T机会
- 建议:25.10附近加仓,25.40上方减仓
- 做T仓位控制在底仓30%以内

参考 references/t0-rotation-guide.md 获取详细方法论与 A股实证研究。

使用示例

示例 1: 基本使用

# 调用 skill
result = run_skill({
    "param1": "value1",
    "param2": "value2"
})

示例 2: 命令行使用

python scripts/run_skill.py --input data.json

Signals

GitHub stars
241
Forks
38
Last commit
May 2026
Advanced
Catalog kind
skill
Gateway key
a-share-t0-rotation
Source
github.com/aifinlab/finclaw