qusong
Community@qusong0627
Quantitative trading skill registry covering A-share research, model training, backtesting, broker integrations, and live execution on the QuantMind platform.
Agent Skills by qusong
Showing 31 vetted skills indexed across 1 GitHub repositories.
qusong0627quantdb-data-structure
Documents QuantDB parquet directory layout, Hive partitions, and DuckDB query conventions.
qusong0627quantmind-operations
Operates QuantMind platform APIs for model training, data sync, inference, and RSS news analysis.
qusong0627stock-research
Generates multi-agent deep research reports for A-share stocks from local QuantDB data.
qusong0627model-train-infer-backtest-report
Trains quantitative models, runs batch inference, backtests portfolios, and generates PDF research reports.
qusong0627smart-strategy-stock-picking
Screens stocks via natural language, structured conditions, or DSL queries against QuantDB factor data.
qusong0627tdx-live-trading
Monitors and operates TDX live trading bridge with real-time inference, order execution, and position tracking.
qusong0627tigeropen-cpp
Build C++ trading applications with Tiger Brokers OpenAPI for quotes, orders, and real-time push.
qusong0627tigeropen-typescript
Build TypeScript trading applications using the Tiger Brokers OpenAPI SDK for quotes, orders, and push subscriptions.
qusong0627market-analysis
Generates A-share market snapshot reports with index, breadth, sector, and capital flow data as Markdown and PDF.
qusong0627trading-agents
Generates multi-agent stock research reports from QuantMind local data with PDF export.
qusong0627futuapi
Query market data and execute trades through the Futu OpenAPI Python SDK.
qusong0627stock-market-analysis
Analyze stock markets and generate research-grade reports from QuantDB data via QuantMind APIs.
qusong0627tigeropen-java
Build Java trading applications with the Tiger Brokers OpenAPI SDK for quotes, orders, and account data.
qusong0627backtest-center
Runs Qlib backtests, compares strategies, and optimizes parameters via QuantMind APIs.
qusong0627news-sentiment-research
Backtests news sentiment signals from RSS articles against A-share price data to produce research reports.
qusong0627simulation-trading
Executes paper trading orders, positions, and account queries via QuantMind simulation APIs.
qusong0627rd-agent-factor-mining
Automates end-to-end A-share alpha factor mining with RD-Agent evolution, backtesting, and reporting.
qusong0627tigeropen-csharp
Generates C# code for Tiger Brokers OpenAPI market data, trading, and push subscriptions.
qusong0627ai-ide-strategy-writing
Generates and executes Qlib quantitative trading strategies in Docker containers via REST APIs.
qusong0627daily-review
Generates A-share daily market review reports from QuantDB data, news sentiment, and model inference signals.
qusong0627tigeropen-rust
Build Rust trading applications with Tiger Brokers OpenAPI for quotes, orders, and push subscriptions.
qusong0627tigeropen-go
Build Go trading applications with Tiger Brokers OpenAPI for quotes, orders, and real-time push.
qusong0627quantmind-deploy
Deploys, updates, and troubleshoots the QuantMind quantitative trading platform via Docker Compose.
qusong0627install-futu-opend
Automates Futu OpenD installation and futu-api SDK upgrades across Windows, macOS, and Linux.
Frequently Asked Questions About qusong
FAQPage SchemaWhat tasks can I accomplish with qusong's QuantMind skills?▼
You can train 13 model types (LightGBM, XGBoost, LSTM, Transformer, etc.), run batch inference, backtest strategies in Qlib, mine alpha factors via RD-Agent, screen stocks by natural-language conditions, analyze news sentiment with FinBERT, and produce Markdown/PDF research reports.
Who are these skills designed for?▼
Quantitative traders, A-share researchers, and developers building trading applications. The Tiger Brokers SDK skills target C++, C#, Go, Java, Rust, and TypeScript engineers, while QuantMind skills serve analysts running research, backtests, and live trading through QuantBot or Claude Code.
How do I run live or simulated trading with these skills?▼
Use tdx-live-trading for TDX real-time inference and order placement, simulation-trading for paper accounts, futuapi with Futu OpenD for quotes and orders, or ibkr-cli for Interactive Brokers. Each skill covers order placement, cancellation, positions, and account monitoring.
Are the broker SDK skills open source and what do they cost?▼
The Tiger Brokers SDK skills are free: Python, Java, C++, and C# versions use Apache-2.0, while TypeScript uses MIT. They require a Tiger Brokers developer account and credentials (TIGEROPEN_TIGER_ID, private key, account) configured as environment variables.
What prerequisites and dependencies are required?▼
QuantDB skills need the local parquet data directory and DuckDB views. Tiger SDKs require language runtimes (Python 3.8+, JDK 1.8+, Go 1.20+, Rust 1.70+, .NET 10, Node.js 16+, C++14 with CMake/Boost). FinBERT sentiment needs transformers and downloaded model weights.