Vibe-Trading is a personal trading agent that gives an AI system tools for market analysis, algorithmic trading, backtesting, and related workflows. It is for users who want an agent to research and evaluate trading strategies or manage simulated and other trading activities. The catalogue contains skills that expose these trading capabilities to compatible agents.
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.
npx skills add HKUDS/Vibe-Trading --skill mootdxgit clone --depth 1 https://github.com/HKUDS/Vibe-TradingWrote 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.
[](https://agentmods.dev/skills/hkuds/vibe-trading/mootdx)<a href="https://agentmods.dev/skills/hkuds/vibe-trading/mootdx"><img src="https://agentmods.dev/badge/skills/hkuds/vibe-trading/mootdx/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.
<a href="https://agentmods.dev/skills/hkuds/vibe-trading/mootdx"><img src="https://agentmods.dev/badge/skills/hkuds/vibe-trading/mootdx.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Snyk pass
- NVIDIA SkillSpector pass
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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00061 | $0.01413 |
| Opus 5.5 | $0.00024 | $0.00565 |
| Sonnet 5.5 | $0.00012 | $0.00283 |
| Haiku 4.5 | $0.00006 | $0.00141 |
Grade A, and why
mootdx 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 2d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- mootdx — 100% identical, 13 lines differ
How it starts
The opening of the file, as written. The whole thing — 102 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Status (2026-10-08): retired from the default chain. TDX servers stopped answering the client protocol mootdx speaks (upstream: mootdx/mootdx#157), so this source is no longer in the automatic A-share fallback and is excluded from the loader-health canary. The loader stays registered for explicit
source="mootdx"calls in case a future upstream release restores the protocol. For A-share OHLCV prefer tencent / eastmoney / baostock.
Overview
Mootdx talks the native 通达信 (TDX) binary protocol over TCP, bypassing the HTTP scrapers that periodically fail under load (akshare → East Money is the canonical example). Public market data only — no token, no per-IP throttling, no captcha.
- GitHub: https://github.com/mootdx/mootdx
- Legacy SDK installation (not needed for automatic A-share data):
pip install mootdx && pip install 'httpx>=0.28.1'
Mootdx pins
httpx<0.26insetup.py, but only uses basichttpx.Client/getAPIs that are forward-compatible. The secondpip installrestores the modern httpx that the rest of Vibe-Trading (MCP server, fastmcp) needs.
Quick Start
from mootdx.quotes import Quotes
client = Quotes.factory(market="std") # std = 沪/深/京; ext = 期货/期权 (upstream-broken)
# Daily OHLCV with a date range (preferred API).
df = client.get_k_data(code="000001", start_date="2025-01-01", end_date="2025-02-01")
# Intraday — offset-from-latest only, no native date range.
df_15m = client.bars(symbol="600519", frequency=1, offset=800)
Frequency Codes
bars(frequency=N) uses integer codes from mootdx.consts:
| Code | Bar |
|---|---|
| 8 | 1m |
| 0 | 5m |
| 1 | 15m |
| 2 | 30m |
| 3 | 1H |
| 4 | 1D |
| 5 | 1W |
| 6 | 1M |
get_k_data() is daily only but accepts start_date / end_date. For intraday, bars() returns the latest N rows — the built-in loader over-fetches offset=800 then clips to the requested window.
Key Methods
| Method | Use | Returns |
|---|---|---|
get_k_data(code, start_date, end_date) |
Daily OHLCV with date range | [open, close, high, low, vol, amount, date, code] |
bars(symbol, frequency, offset=800) |
Intraday / weekly / monthly | [open, close, high, low, vol, amount, datetime, volume, ...] |
minute(symbol) |
Current trading day 1m bars | Same schema as bars() |
quotes(symbol) |
Real-time L1 snapshot | {price, bid, ask, volume, ...} |
stocks(market) |
List all tickers on an exchange | DataFrame of code/name |
F10(symbol) / finance(symbol) |
Fundamentals snapshot | Heterogeneous dict |
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.
- 2d ago Changed b5096c3e1b54
- 26d ago Changed · +7 lines · +10 tokens per session 05e0043a670b
- 2mo ago First seen · 95 lines · 51 tokens per session scan A 7514f5b19606
mootdx is a skill published in the GitHub repository HKUDS/Vibe-Trading (37,568 stars, last pushed 2d ago), licensed MIT. It adds 61 tokens to every session and 1,413 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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