xiapi-screener for Openclaw

A sophisticated technical analysis tool for screening A-share stocks based on classic trading patterns like VCP, RPS, and trend momentum.

ksky521
v1.0.3
Apr 12, 2026
0
786
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install xiapi-screener

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install xiapi-screener using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is xiapi-screener?

xiapi-screener is a powerful Openclaw Skills extension designed for traders and developers who utilize technical analysis to navigate the A-share market. By leveraging the Daxiapi API, this skill automates the discovery of high-probability trading setups, including Mark Minervini's Volatility Contraction Pattern (VCP), O'Neil's Relative Price Strength (RPS), and various breakout signals.

Beyond simple filtering, the skill provides an intelligent analysis layer that ranks stocks by momentum, strength, and sector distribution. It serves as a bridge between raw market data and actionable investment intelligence, delivering structured reports that highlight the strongest candidates for bottom-up stock selection strategies.

xiapi-screener Use Cases

  • Screening for stocks matching specific technical patterns such as VCP, RPS, or Spring signals.
  • Identifying high-momentum leaders and sector-wide breakouts.
  • Conducting bottom-up stock analysis based on strength indicators like SCTR and CS.
  • Automating daily market scans for 52-week highs or price-volume breakouts.
  • Generating comprehensive technical analysis reports for specific stock pools.

How xiapi-screener Works

  1. The agent identifies the user's desired technical criteria (e.g., "Find VCP stocks with high RPS").
  2. It classifies conditions into primary patterns (fetched via API) and secondary filters (processed locally).
  3. The skill invokes the Daxiapi CLI to retrieve a raw list of stocks meeting the primary technical pattern.
  4. It applies secondary logical filters, such as market capitalization requirements or moving average positions.
  5. The AI analyzes the resulting dataset for sector concentration and momentum sustainability.
  6. A structured Markdown report is generated, including core conclusions, key metrics, and risk warnings.

xiapi-screener Setup

First, ensure you have an API token from daxiapi.com. Use the following commands to configure the skill:

# Check current configuration
npx daxiapi-cli@latest config get token

# Set your API token
npx daxiapi-cli@latest config set token YOUR_TOKEN_FROM_DAXIAPI

# Verify the installation
npx daxiapi-cli@latest stock pattern vcp

xiapi-screener Data Schema & Taxonomy

The skill organizes market data into structured categories to facilitate secondary filtering. Key data fields include:

Category Fields Description
Strength rps, sctr, cs Relative strength and industry ranking metrics
Price Action ma20, ma50, ma200 Position relative to key moving averages
Volume vol, vma5 Current volume vs. 5-day average for breakout confirmation
Momentum zdf1d, zdf5d, zdf20d Price change percentages across multiple timeframes
Market Info shizhi, industry Market capitalization and sector classification

xiapi-screener Advanced Features

  • Multi-Condition Logic: Supports combining primary technical patterns with secondary logical expressions (e.g., price > ma20 && sctr > 70).
  • Sector Heatmap Analysis: Automatically identifies which industries are showing the most technical strength within a filtered result set.
  • Risk-Adjusted Ranking: Filters out "overheated" stocks using rps_score and volatility thresholds to ensure safer entry points.
  • Automated Reporting Pipeline: Generates standardized investment reports including disclaimers, technical conclusions, and follow-up watchpoints.

SKILL.md


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