tqx skillA

tqx is agent-read markdown (skill) from starchild-ai-agent/official-skills: TQX (tqx.trade) HK/US stock quant: factor analysis, strategy backtests, and agent-driven trading (paper or live) via the TQX CLIs. Use when the user wants to run factor IC/IR analysis, backtest a Python trading strategy on Hong Kong or US stocks, or set up agent-automated trading on a paper or live account (e.g. "backtest a moving-average strategy on AAPL", "analyze a momentum factor on HK stocks", "let the agent trade my TQX account", "join the TQX trading competition")..

Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns the same grade.

What the file says

# TQX Quant — Factor Analysis & Strategy Backtest

TQX (https://www.tqx.trade) is a HK/US stock quant platform. This skill drives it through the official `tqx-cli` pip package.

## Official TQX skills (source of truth — read these first)

TQX publishes two official skills. Fetch the raw URLs directly (the repo UI is a JS SPA; only `/-/git/raw/` URLs return content):

**1. tqx-research** — factor analysis, strategy backtest, workflow management (Python `tqx-cli`, email/password login):
- Main: `https://cnb.cool/liangyunzhijing/clis/-/git/raw/main/skills/tqx-research/SKILL.md`
- References (read before generating code — do NOT guess APIs):
  - commands: `.../skills/tqx-research/references/commands.md`
  - strategy templates: `.../skills/tqx-research/references/strategy_templates.md`
  - US API: `.../skills/tqx-research/references/stock_us_api.md`
  - HK API: `.../skills/tqx-research/references/stock_hk_api.md`
  - tqx_data: `.../skills/tqx-research/references/tqx_data_usage.md`
  (replace `...` with `https://cnb.cool/liangyunzhijing/clis/-/git/raw/main`)
…

Read the whole file at its exact version.

How to install

Latest version
mdr add starchild-ai-agent/official-skills/tqx@v2.4.2
Exact content
mdr add starchild-ai-agent/official-skills/tqx@sha256:09bc6a489654a005

Pin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_zndngevxjdqcx53t.svg)](https://markdownregistry.com/a/art_zndngevxjdqcx53t)

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Versions

versioncommittedcommitsizeaudit
v2.4.2 latest2026-07-25 0e91074 17,935 BA view · diff
v2.4.12026-07-25 1012733 17,935 BA view · diff
v2.4.02026-07-25 a1d7d9d 17,935 BA view · diff
v2.3.42026-07-25 311bfa3 17,935 BA view

Audit of the latest version

A  17 of 17 checks passed. Deterministic, no model, same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (17935 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

starchild-ai-agent/official-skills · 28 stars · license none · pushed 2026-09-18 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_zndngevxjdqcx53t
GET https://markdownregistry.com/api/v1/resolve?ref=starchild-ai-agent/official-skills/tqx
GET https://markdownregistry.com/api/v1/blob/09bc6a489654a005c0b522bee81f747fab1aef92f9121b237bd14e4917e8e008

Your agent does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

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