AI Agent Skills

期货自动交易

Research a US equity across fundamentals, valuation, technical context, peers, and current market data.

Resources to Prepare for Quant Developers/ Quantitative Researcher/ Quantitative Trader/ Quant Analyst/ Software Engineers in Quant Trading Firms, HFTs and Hedge Funds

Rank recent market-moving news and explain likely effects on equities, commodities, monetary policy, and earnings.

Create a global market conditions report spanning equities, rates, FX, commodities, risk appetite, and sector rotation.

Production-grade Rust-native trading engine with deterministic event-driven architecture

Look up A-share, Hong Kong, and US stock tickers and retrieve historical OHLCV price data for research.

Review portfolio-company financial packages, flag variance to plan, and prepare monitored KPI summaries.

Retrieve market prices, histories, fundamentals, options, and news through Yahoo Finance endpoints for research workflows.

Screen equities with systematic value, momentum, quality, volatility, size, and growth factor frameworks.

Evaluate systematic strategy ideas through signal testing, statistical validation, decay, execution costs, and model-risk review.

Prepare a pre-earnings briefing with consensus estimates, beat-miss history, and current market context.

Open-source investment research platform for financial analysis agents.

Complete and link income statement, balance sheet, and cash flow statement model templates with formulas and checks.

Analyze a ticker with AlphaGBMs five-pillar framework: fundamentals, technicals, sentiment, flows, and valuation.

Perform a forensic company financial-statement review across earnings quality, health, fraud risk, and operating efficiency.