// Read web pages, articles, and document links by converting URLs into Markdown text. Use the `read_url` tool directly, without bash. Sends the full URL to the third-party Jina Reader (r.jina.ai).
| name | web-reader |
| description | Read web pages, articles, and document links by converting URLs into Markdown text. Use the `read_url` tool directly, without bash. Sends the full URL to the third-party Jina Reader (r.jina.ai). |
| category | tool |
Converts any URL into clean Markdown text, removing ads, navigation, styling, and other distractions. Suitable for:
tushare, OKX, yfinance, and similar)Call the read_url tool directly (do not use bash + requests, call the tool directly):
read_url(url="https://tushare.pro/document/2?doc_id=27")
Returns JSON:
{
"status": "ok",
"title": "Page title",
"url": "Original URL",
"content": "Page content in Markdown format",
"length": 12345
}
read_url forwards the full target URL
(including any query string) to the external Jina Reader service
(r.jina.ai). Do not pass URLs containing credentials, tokens, or
private/internal addresses — they would leave this host."cached": true; pass no_cache=true to
force a fresh fetch (slower — use only when freshness matters).bash + requests fetch is possible, but it bypasses this
tool's URL safety guard and the Jina layer — use sparingly and never
for internal/authenticated URLs.read_url(url="https://tushare.pro/document/2?doc_id=27")
read_url(url="https://blog.example.com/quantitative-trading-guide")
read_url(url="https://github.com/PaddlePaddle/PaddleOCR")
Professional finance research toolkit — backtesting (7 engines + benchmark comparison panel), factor analysis, Alpha Zoo (452 pre-built alphas across qlib158/alpha101/gtja191/academic), options pricing, 75 finance skills, 29 multi-agent swarm teams, Trade Journal analyzer, and Shadow Account (extract → backtest → render) across 6 data sources (tushare, yfinance, okx, akshare, ccxt, futu).
Browse and bench the bundled alpha zoos — prebuilt cross-sectional factor libraries (Kakushadze 101, GTJA 191, Qlib 158, Fama-French / Carhart). Use when the user asks "which alphas exist", wants metadata on a named alpha, or wants to run IC/IR on a whole zoo over a universe.
Factor research framework with IC/IR analysis, quantile backtesting, and factor combination. Suitable for cross-sectional factor evaluation across multiple instruments.
Multi-factor cross-sectional stock ranking. Combines factor standardization, equal-weight or IC-weighted scoring, and TopN portfolio construction. Suitable for multi-instrument portfolio strategies.
Fundamental factor screening — filter stocks by PE/PB/ROE, financial statement fields, and other metrics for value or growth selection. Supports A-shares (via tushare extra_fields or fundamental_fields) and HK/US stocks (via yfinance Ticker info).
Create, modify, and optimize quantitative trading strategies, then backtest and evaluate them.