Qtsurfer Strategy Skills
- 1 repo stars
- Updated July 26, 2026
- QTSurfer/strategy-skills
QTSurfer Strategy Skills is a Claude Code marketplace plugin that teaches agents to write, review, and debug QTSurfer Java trading strategies for developers building backtestable ticker, kline, and funding-rate algorithm
About
QTSurfer Strategy Skills is a Claude Code plugin marketplace bundling Agent Skills for the QTSurfer algorithmic trading platform. The shipped qtsurfer-java-strategy skill teaches agents to extend AbstractTickerStrategy, AbstractKlineStrategy, and AbstractFundingRateStrategy, configure indicators via InstrumentGroupRTIndicator, implement AbstractOnChangeListener window handlers, manage per-instrument state with StateStore, and submit strategies for backtesting via MCP or SDK. Reference material covers the full indicator catalogue (EMA, SMA, RSI, Bollinger, predicates), @StrategyProperty runtime parameters, classloader constraints for inner listeners, and five complete production-style examples including trailing exits and noise filtering. Install via claude plugin marketplace add QTSurfer/strategy-skills or npx skills add. Reach for it when prompts mention QTSurfer strategies, crossover signals, or backtest submission—not for generic Java or unrelated quant frameworks.
- Covers AbstractTickerStrategy, AbstractKlineStrategy, AbstractFundingRateStrategy base classes
- Documents InstrumentGroupRTIndicator fluent builder and full indicator catalogue
- Explains AbstractOnChangeListener window patterns and StateStore per-instrument state
- Includes 5 complete working strategy examples with trailing exits and noise filtering
- Supports backtest submission via QTSurfer MCP server or SDK
Qtsurfer Strategy Skills by the numbers
- Data as of Jul 27, 2026 (Skillselion catalog sync)
/plugin marketplace add QTSurfer/strategy-skillsAdd your badge
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| repo stars | ★ 1 |
|---|---|
| Last updated | July 26, 2026 |
| Repository | QTSurfer/strategy-skills ↗ |
How do you write QTSurfer Java trading strategies?
Generate and debug QTSurfer Java strategy classes with indicators, StateStore, window listeners, and backtest submission.
Who is it for?
Quant developers using QTSurfer who want Claude, Cursor, or Codex agents to scaffold, review, or debug Java strategies with platform-native patterns.
Skip if: Developers not on the QTSurfer platform or teams seeking general-purpose algorithmic trading code without QTSurfer base classes and MCP backtest integration.
What you get
Compilable QTSurfer Java strategy classes with indicators, window listeners, StateStore usage, and backtest submission artifacts.
- QTSurfer Java strategy source
- backtest submission configuration
By the numbers
- Marketplace bundles 1 plugin: qtsurfer-java-strategy v1.1.0
- Covers 4 strategy base classes in the Java skill
- Includes 5 complete working strategy examples
Plugins in this marketplace
1 plugin - install individually after you add the marketplace.
Recommended Marketplaces
How it compares
Use QTSurfer Strategy Skills when agents must follow QTSurfer-specific base classes and backtest APIs—not generic Java trading snippets.
FAQ
Which QTSurfer strategy base classes does the skill cover?
QTSurfer Strategy Skills documents AbstractTickerStrategy, AbstractKlineStrategy, AbstractFundingRateStrategy, and the engine-only AbstractMultiSourceStrategy, with runnable public backtests for the first three bases.
How do you install QTSurfer Strategy Skills in Claude Code?
QTSurfer Strategy Skills installs with `/plugin marketplace add QTSurfer/strategy-skills` followed by `/plugin install qtsurfer-java-strategy@Qtsurfer Strategy Skills`, or via `npx skills add QTSurfer/strategy-skills`.
Does QTSurfer Strategy Skills include working examples?
QTSurfer Strategy Skills ships 5 complete working Java strategy examples covering production patterns like noise filtering chains, EMA distance analysis, trailing exits, and re-entry protection.