AI Agent Skills

Uses Deep Convolutional Neural Networks (CNNs) to model the stock market using technical analysis. Predicts the future trend of stock selections.

A Python library for mathematical finance

OHLC Average Prediction of Apple Inc. Using LSTM Recurrent Neural Network

Place and manage orders on behalf of accounts via the Alpaca Broker API — order creation (qty vs notional, fractional shares, order types/TIF/classes), order status life…

Execute deterministic, reproducible historical backtests from a start date, end date, and strategy concept using the Alpaca CLI plus agent-written workspace code. Use wh…

One-line trigger description for when an agent should load this skill.

Preview, submit, inspect, and manage Alpaca paper-trading orders using the Alpaca CLI. Supports US equities, options, and crypto. Use this skill when you want your AI ag…

a light-weighted, integrated trading/backtesting system/platform（综合量化交易回测系统/平台）

Trading bot implemented in Rust, with market making and strategy automation for any exchange or blockchain.

Expert guidance for systematic backtesting of trading strategies. Use when developing, testing, stress-testing, or validating quantitative trading strategies. Covers "be…

This skill should be used when analyzing market breadth charts, specifically the S&P 500 Breadth Index (200-Day MA based) and the US Stock Market Uptrend Stock Ratio cha…

The highfrequency package contains an extensive toolkit for the use of highfrequency financial data in R. It contains functionality to manage, clean and match highfreque…

A Beginner’s Handbook for Stock Investing（股票投资入门手册）

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一个基于Node.js的开源量化交易平台，轻巧地开发和部署量化投资策略

QuantWorld2022/backtrader is a high-star GitHub project relevant to AI agent workflows.